Anonymous Radio Redux

The 24 Hour Livestream is active in beta, you are welcome to join. 24 hour music and talk radio. The music is a chill trip with a low tempo and no ...

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Not working for anonymous user (not logged-in)

Thanks for the great plugin! Unfortunately the wishlist doesn't work for anonymous user (not logged-in). After pressing the button “Add to wishlist”, and ...

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Gold Hoarders Anonymous

I have three million gold. I'm not saying this to brag-- I'm finally noting that I may have some sort of "issue". I don't see that there's much for me to buy ...

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Specifiy `--anonymous-auth=false`

Specifiy `--anonymous-auth=false` in kube-apiserver #10366. Open. superseb opened this Issue 11 minutes ago · 0 comments ...

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Ravens activate RB Danny Woodhead (hamstring) from IR and release TE Gavin Escobar (ESPN)

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Asia

Alcoholics Anonymous China General Service Office No. 38 Bei Luo Gu Xiang Dong Cheng District Beijing, 100009, China Phone 86139-11389075

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Rumor Central: Free agent P Alex Cobb drawing interest from Orioles - MLB Network (ESPN)

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Parents Anonymous and Child Abuse Prevention Policy

Parents Anonymous and Child. Abuse Prevention Policy. Mical Raz, MD, PhD. Child abuse policy has long been a politically contentious topic in the.

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Friday the Moon Smiled

Friday, an old Moon smiled for early morning risers. Its waning sunlit crescent is captured in this atmospheric scene from clear skies near Bursa, Turkey, planet Earth. In the subtle twilight hues nearby celestial lights are Jupiter (top) and Venus shining close to the eastern horizon. But today, Saturday, the Moon will be new and early next week its waxing crescent will follow the setting Sun as it sinks in the west. Then, a young Moon's smile will join Saturn and Mercury in early evening skies. via NASA http://ift.tt/2zKPtT8

Delta Gamma Phi Elfin for Anns Place

Ann's Place is one of our philanthropies that means the world to us, being able to help cancer patients and their family members by giving back to this amazing organization really does fill our hearts with so much joy.

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Steele Of Approval To A BC Broadcasting Legend & To An Anonymous Good Samaritan

Lynda hands out the Steele of Approval… to a BC broadcasting legend, and to an anonymous Good Samaritan who restored our faith in humanity today.

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Ravens: LT Ronnie Stanley (concussion) will likely miss Sunday vs. Packers (ESPN)

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Indiësche dingen

anonymous. Drag Edit. Add description ... Durga Killing the Buffalo Demon. anonymous. Drag Edit ... Five Javanese Court Officials. anonymous. Drag

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I have a new follower on Twitter

Paula Kendal
Неy ! I'm lоoking for а seхfriend. Find mе, click https://t.co/V6LJ3clGDT


Following: 53 - Followers: 16

November 17, 2017 at 02:42PM via Twitter http://twitter.com/VictorAlcaraz

Unfair Feedback

They left the following comment: Shipping via PO is a poor choice as in this zip code there is no home delivery....... How are they able to leave feedback before it even is picked up by the carrier? Amazon denied removal! Thanks for letting me vent! Edited by: Anonymous on Nov 16, 2017 5:06 PM ...

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Banking Trojan Gains Ability to Steal Facebook, Twitter and Gmail Accounts

Security researchers have discovered a new, sophisticated form of malware based on the notorious Zeus banking Trojan that steals more than just bank account details. Dubbed Terdot, the banking Trojan has been around since mid-2016 and was initially designed to operate as a proxy to conduct man-in-the-middle (MitM) attacks, steal browsing information such as stored credit card information

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ISS Daily Summary Report – 11/16/2017

Marrow: Upon wakeup, a 52S crewmember conducted breath and ambient air sample collections for the Marrow investigation, which looks at the effect of microgravity on bone marrow. It is believed that microgravity, like long-duration bed rest on Earth, has a negative effect on the bone marrow and the blood cells that are produced in the … Continue reading "ISS Daily Summary Report – 11/16/2017"

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Kaspersky: NSA Worker's Computer Was Already Infested With Malware

Refuting allegations that its anti-virus product helped Russian spies steal classified files from an NSA employee's laptop, Kaspersky Lab has released more findings that suggest the computer in question may have been infected with malware. Moscow-based cyber security firm Kaspersky Lab on Thursday published the results of its own internal investigation claiming the NSA worker who took

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mlp/ - Anonymous in Equestria Thread #1134

Anonymous in Equestria Thread #1134 - "/mlp/ - Pony" is 4chan's imageboard dedicated to the discussion of My Little Pony: Friendship is Magic.

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NPS Launches Anonymous Alerts for Middle & High Schools

Norwalk Public Schools will roll out a new bullying and safety reporting mobile app called Anonymous Alerts over the next several weeks. The app ...

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Major Fireball Meteor

The sky glows with soft pinkish colors of fading twilight in this serendipitous mountaintop vista. Taken in subfreezing temperatures, the thoughtfully composed photo shows snowy, rugged peaks seen from a mountain pass on November 14. Below lies the village of La Villa, Alta Badia in Italy's Dolomite Alps. Above the nestled village lights, the constellation Ursa Major hangs over the northern horizon. But most stunning is the intense fireball meteor. It was captured during the camera's exposure by chance as it flashed east to west across the northern horizon, under Ursa Major's familiar Big Dipper asterism. In fact, sightings of this major fireball meteor were widely reported in European skies, the most reported fireball event ever for planet Earth's American Meteor Society and the International Meteor Organization. The meteor's measured track over Germany is consistent with its origin near the active radiant of November's Taurid Meteor Shower. Taurid meteors are associated with dust from Encke's comet. via NASA http://ift.tt/2yQ2HKV

Earth: Our Living Plant

By monitoring the color of reflected light via satellite, scientists can determine how successfully plant life is photosynthesizing. A measurement of photosynthesis is essentially a measurement of successful growth, and growth means successful use of ambient carbon. This data visualization represents twenty years' worth of data taken primarily by SeaStar/SeaWiFS, Aqua/MODIS, and Suomi NPP/VIIRS satellite sensors, showing the abundance of life both on land and in the sea. In the ocean, dark blue to violet represents warmer areas where there is little life due to lack of nutrients, and greens and reds represent cooler nutrient-rich areas. The nutrient-rich areas include coastal regions where cold water rises from the sea floor bringing nutrients along and areas at the mouths of rivers where the rivers have brought nutrients into the ocean from the land. On land, green represents areas of abundant plant life, such as forests and grasslands, while tan and white represent areas where plant life is sparse or non-existent, such as the deserts in Africa and the Middle East and snow-cover and ice at the poles.

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Anonymous Tip

Check our new Sheriff's Office website! The responsive, mobile-compatible, interactive site is more than 120 pages long and includes more than 650 ...

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Anonymous

Details. Would like to speak in person/ via phone or Skype about my issue. This job was posted from a mobile device, so please pardon any typos or ...

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ISS Daily Summary Report – 11/15/2017

Probiotics Operations: The crew completed the second half of the second sampling phase that began on GMT 316 with fecal sample collections. Today’s activities included saliva sample collections, a questionnaire, and a capsule intake. This sampling phase was the second of four sampling phases for the JAXA Probiotic experiment. Some species of harmful bacteria such … Continue reading "ISS Daily Summary Report – 11/15/2017"

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Birdwatchers Anonymous

Click here to view this image from nwestiowa.com.

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SBU: Most of anonymous hoax bomb calls come from Russia

SBU: Most of anonymous hoax bomb calls come from Russia. View news feed in news about politics for 16 November from UNIAN Information ...

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What's New? | Members

What's New. These pages keep track of items which have been added to the website. In many cases, there will be reference to a document which has ...

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When an anonymous user and authenticated users have permission to edit translations, they can ...

When an anonymous user and authenticated users have permission to edit translations, they can set contributors to anyone. It is different from the ...

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PML-N lawmakers receiving 'anonymous phone calls': Rana Sana

LAHORE (APP): Punjab Law Minister Rana Sanaullah said on Thursday that PML-N lawmakers were receiving anonymous phone calls in which they ...

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How to hide smartdocs method while using search for anonymous users?

I have tried using Taxonomy Access control module to hide the smartdocs method from anonymous users. But still i can see the methods getting ...

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Ravens: CB Jimmy Smith (Achilles) misses 2nd straight day of practice (ESPN)

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I have a new follower on Twitter

US Presort
US Presort is a full-service marketing company. We provide businesses with a one-stop solution for all their #directmarketing needs.
Staten Island, US, 10314
https://t.co/yyPrq8vqKb
Following: 1023 - Followers: 1123

November 16, 2017 at 02:42PM via Twitter http://twitter.com/uspresort

Ravens: Alex Collins' role as featured back won't be affected by return of other RBs, says OC Marty Mornhinweg (ESPN)

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Students, parents encouraged to use school anonymous alerts

From bullying to fears of suicide, you can choose who gets the message and even attach a picture while remaining anonymous.

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I have a new follower on Twitter

UK NFL Fan
Honestly, wished the NFL played more games over here :/ Go Dolphins!
Toddington, England

Following: 647 - Followers: 607

November 16, 2017 at 12:42PM via Twitter http://twitter.com/britishNFLstar

The Trial of an Ox, for Killing a Man; by Anonymous

Free kindle book and epub digitized and proofread by Project Gutenberg.

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Logons

Email, Filestore and Microsites. Email, Filestore and Microsites are three areas that required log on access by the relevant Intergroup and Regional ...

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Anonymous donor gives Refuge for Women a $10000 fundraising push

Last week an anonymous donor pledged to match up to $10,000 in donations during November. “He told me, 'This needs to be opened,'” said ...

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Anonymous and Message

For anonymous user: The rule is blocked when creating Entity Message of type "Abandoned cart notification message.", because it tries to use ...

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kubernetes/kubernetes

kubectl create command works correctly,but kubectl logs and kubectl exec not : Error from server (Forbidden): Forbidden (user=system:anonymous, ...

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Privacy Statement

Alcoholics Anonymous (GB Ltd.) would like its users to read the following Privacy Statement, with regards to the processing of information collected on ...

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WHAT IS ANONYMOUS?...HOW TO BE ANONYMOUS.

What is Anonymous? Anoynmous is not a group, it is not a person. It is an idea. Specifically it is the idea, that all of us deserve FREEDOM. Freedom of ...

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Another Shady App Found Pre-Installed on OnePlus Phones that Collects System Logs

The OnePlus Saga Continues… Just a day after the revelation of the hidden Android rooting backdoor pre-installed on most OnePlus smartphones, a security researcher just found another secret app that records tons of information about your phone. Dubbed OnePlusLogKit, the second pre-installed has been discovered by the same Twitter user who goes by the pseudonym "Elliot Alderson" and

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Secret of the Holy Bible by Anonymous

Buy Secret of the Holy Bible book by author Anonymous. Preview and learn more about this self-published Religion & Spirituality book.

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Bluetooth Hack Affects 20 Million Amazon Echo and Google Home Devices

Remember BlueBorne? A series of recently disclosed critical Bluetooth flaws that affect billions of Android, iOS, Windows and Linux devices have now been discovered in millions of AI-based voice-activated personal assistants, including Google Home and Amazon Echo. As estimated during the discovery of this devastating threat, several IoT and smart devices whose operating systems are often

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Accountant

Accountant in Accounting and public practice, Accountant with Anonymous. Apply Today.

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I have a new follower on Twitter

Kimberly_Faith
Singer~Author~Attorney. Tweet to inspire God's presence! Kimberly Faith~ iTunes; https://t.co/vzQgBUC0IZ; Essential Faith~ https://t.co/LID8kZBWbl
Waynesville, Missouri
https://t.co/ez0ENIaY3u
Following: 16971 - Followers: 22714

November 16, 2017 at 01:57AM via Twitter http://twitter.com/GoFaithstrong

Secret of the Holy Bible by Anonymous: Religion & Spirituality

Category Religion & Spirituality; Size Small Square, 7×7 in, 18×18 cm 30 Pages; Isbn. Hardcover, Dust Jacket: 9781389362743; Hardcover, ...

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The Tarantula Nebula is more than a thousand light-years in diameter, a giant star forming region within nearby satellite galaxy the Large Magellanic Cloud, about 180 thousand light-years away. The largest, most violent star forming region known in the whole Local Group of galaxies, the cosmic arachnid sprawls across this spectacular view composed with narrowband data centered on emission from ionized hydrogen and oxygen atoms. Within the Tarantula (NGC 2070), intense radiation, stellar winds and supernova shocks from the central young cluster of massive stars, cataloged as R136, energize the nebular glow and shape the spidery filaments. Around the Tarantula are other star forming regions with young star clusters, filaments, and blown-out bubble-shaped clouds. In fact, the frame includes the site of the closest supernova in modern times, SN 1987A, right of center. The rich field of view spans about 1 degree or 2 full moons, in the southern constellation Dorado. But were the Tarantula Nebula closer, say 1,500 light-years distant like the local star forming Orion Nebula, it would take up half the sky. via NASA http://ift.tt/2AJQWqN

Startup offers anonymous harassment reporting tool

Startup offers anonymous harassment reporting tool. Startup offers anonymous harassment reporting tool. NEW YORK (CNNMoney) – Stories of ...

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Rumor Central: Orioles eyeing P Tyler Chatwood in free agency - MLB Network (ESPN)

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COLUMN-New Weinstein lawsuits pit anonymous accusers vs public's right to know

In addition to the anonymous actress who sued the producer on Tuesday, Weinstein and the two companies he founded were also sued Wednesday ...

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Dominick (Century Meeting)

Overeaters Anonymous - SF · Meetings · Events · Podcast · For Newcomers · Contribute · Dominick (Century Meeting). November 15, 2017 L Y.

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John Harbaugh defends complexity of Ravens' offense after former TE Dennis Pitta's comments (ESPN)

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Gamblers Anonymous Online

Gamblers Anonymous Online. Find your use this bonus money 1 online blazing 7s online casinos. One advantage Money Safe any of slots for.

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Romantics-Anonymous-Sam-Wanamaker-Playhouse-1

Published 15 November 2017. Romantics-Anonymous-Sam-Wanamaker-Playhouse-1. Romantics Anonymous at the Sam Wanamaker Playhouse.

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Review: Romantics Anonymous at the Sam Wanamaker Playhouse

Romantics Anonymous at the Sam Wanamaker Playhouse. Photo: Tristram Kenton. In the spirit of Alcoholic Anonymous-style public confession ...

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Management Accountant RARE OPPORTUNITY

Management Accountant RARE OPPORTUNITY in Accounting and public practice, Management accountant with Anonymous. Apply Today.

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Entity reference field not rendered for anonymous users

Hello, I have created 1 entity reference field (with a list of views), but I don't see the rendered field for the anonymous users. In my template, here is my ...

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Fix Views support for anonymous flaggings (Unknown column 'flagging_node_field_data.sid')

HI,. We have tested the flag module on our drupal 8.2.1 . When adding a flag relation in a view, the following error occurs: SQLSTATE[42S22]: Column ...

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ISS Daily Summary Report – 11/14/2017

Orbital 8 (OA-8) Capture/Berthing:  Monday night, Robotics Ground Controllers maneuvered the Space Station Remote Manipulator System (SSRMS) to inspect the Node 1 Nadir Active Common Berthing Mechanism (CBM). They then maneuvered the SSRMS to the Cygnus high hover position in preparation for Cygnus capture.  Early this morning, the crew monitored the Cygnus approach from the Cupola … Continue reading "ISS Daily Summary Report – 11/14/2017"

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Anonymous DevOps Confessions

Submit and view anonymous DevOps Confessions.

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Cisco Training Courses: Prepare for CCNA, CCNP Networking Certifications

As governments and enterprises migrate toward controller-based architectures, the role of a core network engineer are evolving and more important than ever. There is a growing number of jobs in Networking, but if you lack behind, you need to pass some certification exams to enter into this industry and get a significant boost in your IT career. If you are looking forward to making career

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Forever 21 Warns Shoppers of Payment Card Breach at Some Stores

Another day, another data breach. This time a fast-fashion retailer has fallen victim to payment card breach. American clothes retailer Forever 21 announced on Tuesday that the company had suffered a security breach that allowed unknown hackers to gain unauthorized access to data from payment cards used at a number of its retail locations. The Los Angeles based company, which operates over

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Anonymous hits out at 'EU army' with leaks in Italy

The oligarchy that Anonymous speaks of is the European Union, an organisation they previously called "created at a table, the result of extreme ...

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17-Year-Old MS Office Flaw Lets Hackers Install Malware Without User Interaction

You should be extra careful when opening files in MS Office. When the world is still dealing with the threat of 'unpatched' Microsoft Office's built-in DDE feature, researchers have uncovered a serious issue with another Office component that could allow attackers to remotely install malware on targeted computers. The vulnerability is a memory-corruption issue that resides in all versions of

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Anonymous

Contributions · Reputation. Anonymous. @mous. User Avatar Image. Anonymous. 1, Reputation. 0, Solutions. 0, Guides. Member Since 11/14/2017 ...

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Patch Tuesday: Microsoft Releases Update to Fix 53 Vulnerabilities

It's Patch Tuesday—time to update your Windows devices. Microsoft has released a large batch of security updates as part of its November Patch Tuesday in order to fix a total of 53 new security vulnerabilities in various Windows products, 19 of which rated as critical, 31 important and 3 moderate. The vulnerabilities impact the Windows OS, Microsoft Office, Microsoft Edge, Internet Explorer,

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20 Years of Global Biosphere

By monitoring the color of reflected light via satellite, scientists can determine how successfully plant life is photosynthesizing. A measurement of photosynthesis is essentially a measurement of successful growth, and growth means successful use of ambient carbon. This data visualization represents twenty years' worth of data taken primarily by SeaStar/SeaWiFS, Aqua/MODIS, and Suomi NPP/VIIRS satellite sensors, showing the abundance of life both on land and in the sea. In the ocean, dark blue to violet represents warmer areas where there is little life due to lack of nutrients, and greens and reds represent cooler nutrient-rich areas. The nutrient-rich areas include coastal regions where cold water rises from the sea floor bringing nutrients along and areas at the mouths of rivers where the rivers have brought nutrients into the ocean from the land. On land, green represents areas of abundant plant life, such as forests and grasslands, while tan and white represent areas where plant life is sparse or non-existent, such as the deserts in Africa and the Middle East and snow-cover and ice at the poles.

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Anonymous Resident Wins 2 Million in Lottery

Anonymous Resident Wins 2 Million in Lottery. Nov 14, 2017 7:19 PM EST. Rochelle Dean. This video is no longer available. No playable sources ...

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Proposal to implement anonymous marking in 2017/18

Initial discussions about the need for anonymous marking were raised at meetings of Academic. Council in 2003. A report from the Quality office in ...

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[FD] Faraday v2.7: Collaborative Penetration Test & Vulnerability Management Platform

Faraday is the Integrated Multiuser Risk Environment you have always been looking for! It maps and leverages all the data you generate in real time, letting you track and understand your audits. Our dashboard for CISOs and managers uncovers the risks and impacts and risks being assessed by the audit in real-time without a single email. Developed with a specialized set of functionalities that helps users improve their own work, the main purpose is to re-use the available tools in the community and take advantage of them in a collaborative way! Check out the Faraday project in Github: http://ift.tt/1D8gKXz As you have probably already heard, we are in the midst of a BIG upgrade in Faraday: replacing CouchDB with a much more robost database, Postgresql. This is taking a bit of time, as we are also redesigning parts of our database model to improve the performance of our app, but will be totally worth the wait! Even though we are busy laboring away with this upgrade, we have not forgotten about you users! We have just released a new version of Faraday with some bug fixes, new plugins, and a csv importer! What is new * Last modified and created timestamps The hosts view now shows you the time of the most recent modification: * New feature: Import from CSV Now you can import information of your CSV to Faraday and create any type of Object in it! Hosts, Interfaces, Services, Vulnerabilities, Vulnerabilities Web and Tags can be created using our new CSV-importer. Changes: * Fixed bug where the users menu is not shown. * Added "Last modified" and "Created" in Hosts view. * Checks if the port 5985 is already in use and shows the corresponding error message. * Fixed bug when trying to run Faraday as second process and closing the terminal (&!). * Fixed bug where it asked for dependencies eternally when you have a different version than the one required. * Fixed small bug in the update_from_document method. * Fixed bug, makes the python library dependencies specific to the desired version. * Fixed GitHub language bar to reflect real code percentage. * Merge PR #195: Create gentoo_requirements_extras.txt (New Github wiki page). * Merge PR #225: Add references to found vulnerabilities in nmap plugin. * New plugin: Netsparker cloud. * New plugin: Lynis (Winner of Faraday Challenge 2017). * New Fplugin: changes the status of all vulnerabilities of an specific workspace to closed. * New Fplugin: combines the "create_interface" and "create_host" scripts into one (create_interface_and_host script). * New Fplugin: import_csv , now you can import Faraday objects from a CSV. We hope you enjoy it, and let us know if you have any questions or comments. http://ift.tt/1D4inIk http://ift.tt/2cWL046 http://ift.tt/2n9LbxE http://ift.tt/1D8gKXz https://twitter.com/faradaysec

Source: Gmail -> IFTTT-> Blogger

[FD] Advisory X41-2017-006: Multiple Vulnerabilities in PSFTPd Windows FTP Server

X41 D-Sec GmbH Security Advisory: X41-2017-006 Multiple Vulnerabilities in PSFTPd Windows FTP Server ===================================================== Overview

Source: Gmail -> IFTTT-> Blogger

[FD] Symantec Endpoint Protection (SEP) v12.1 Tamper-protection Bypass CVE-2017-6331

Anonymous - General Manager

An award winning restaurant and catering business expanding to the South Shore is currently seeking a general manager for their new full service ...

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Policy Statement on Implementation of Anonymous Marking

Policy Statement on implementation of Anonymous Marking. To ensure the effective implementation of anonymous marking in the academic year.

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Anonymous Tips

If you would like to report any crime or suspicious activity feel free to send us a tip at the following email. All emails will be kept confidential.

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AA Meetings

AA Meetings. Where to Find Meetings in Great Britain & English speaking meetings in continental Europe. This list is the most up to date information ...

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Anonymous donor to match up to $100000 of ALA Annual Fund contributions

An anonymous donor is matching gifts made to the ALA Annual Fund as of Nov. 1, 2017. Donations are tax-deductible and gifts from an individual ...

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Flix Anonymous - Episode 47 - CKNW Original Podcasts

Trev and Steve are back to talk movie news in 30 minutes. This week they riff on new film releases, the Lord of the Rings TV show, Rian Johnson ...

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mlp

Anonymous, it would be better if you leave now. - "/mlp/ - Pony" is 4chan's imageboard dedicated to the discussion of My Little Pony: Friendship is ...

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Italy investigates Anonymous hack of state employees' emails

ROME, Nov 14 (Reuters) - Italian police are investigating a hack into the email accounts of government employees by activist group Anonymous, ...

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↔ Ravens remain No. 20 in Week 11 Power Rankings (ESPN)

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Anonymous Call Blacklist

Hello, I have a problem for blacklisting some anonymous calls. One of my providers handle anonymous call like this: From: "Anonymous"...

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Firefox 57 "Quantum" Released – 2x Faster Web Browser

It is time to give Firefox another chance. The Mozilla Foundation today announced the release of its much awaited Firefox 57, aka Quantum web browser for Windows, Mac, and Linux, which claims to defeat Google's Chrome. It is fast. Really fast. Firefox 57 is based on an entirely revamped design and overhauled core that includes a brand new next-generation CSS engine written in Mozilla’s Rust

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anonymous owl

the owl is anonymous and turns into a dinsaur. ... anonymous owl. by Anna. 1. Remix. Share. Report. Description. the owl is anonymous and turns into ...

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ISS Daily Summary Report – 11/13/2017

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How to install mxnet for deep learning

When it comes to deep learning, Keras is my favorite Python library…

…but a close runner up is mxnet.

What I like about mxnet is that it combines the best of both worlds in terms of performance and ease of use. Inside mxnet you’ll find:

• Caffe-like binaries to help you build efficiently packed image datasets/record files.
• A Keras-like syntax for the Python programming language to easily build deep learning models.
• Methods to train deep neural networks on multiple GPUs and scale across multiple machines.

Whenever I’m implementing a Convolutional Neural Network I tend to use Keras first. Keras is less verbose than mxnet and is often easier to implement a given neural network architecture + training procedure.

But when it’s time for me to scale up from my initial experiments to ImageNet-size datasets (or larger) I often use mxnet to (1) build an efficiently packed dataset and then (2) train my network on multiple GPUs and/or multiple machines.

Since the Python bindings to mxnet are compiled C/C++ binaries I’m able to milk every last bit of performance out of my machine(s).

In fact, we use mxnet inside Deep Learning for Computer Vision with Python (in particular, the ImageNet Bundle) when training Convolutional Neural Networks on ImageNet and replicating state-of-the-art results for seminal papers, such as VGGNet, ResNet, SqueezeNet, etc..

In the remainder of this blog post you’ll learn how to install and configure mxnet for deep learning on your Ubuntu machine.

How to install mxnet for deep learning

In today’s blog post, I’m going to show you how to get mxnet for deep learning installed on your system in just 5 (relatively) easy steps.

The mxnet deep learning package is an Apache project and comes with great community support. To get started with mxnet I would recommend the tutorials and explanations here. Given the Apache community’s dedication (not to mention, Amazon’s) to mxnet for deep learning, I think it is here to stay for the foreseeable future.

Before we proceed to install mxnet, I’d like to point out that Step #4 is broken into:

• Step #4a for CPU-only users
• And Step #4b for GPU users.

The GPU install is by far trickier and there is the potential for error. These instructions have been tested and I’m confident that they will serve as a good guide for you during the installation process.

Let’s get started.

Step #1: Install prerequisites

First, you’ll want to make sure that your Ubuntu 16.04 or 14.04 system is up to date. You can execute the following commands to update packages from the Ubuntu repository:

$ sudo apt-get update
$ sudo apt-get upgrade

Next, let’s install some development tools, image/video I/O, GUI operations, and other packages (not all of these are 100% necessary, but you’ll want them installed if you’re doing work in deep learning or machine learning):

$ sudo apt-get install build-essential cmake git unzip pkg-config
$ sudo apt-get install libjpeg-dev libtiff5-dev libjasper-dev libpng12-dev
$ sudo apt-get install libavcodec-dev libavformat-dev libswscale-dev libv4l-dev
$ sudo apt-get install libxvidcore-dev libx264-dev
$ sudo apt-get install libgtk-3-dev
$ sudo apt-get install libhdf5-serial-dev graphviz
$ sudo apt-get install libopenblas-dev libatlas-base-dev gfortran
$ sudo apt-get install python-tk python3-tk python-imaging-tk

Third, let’s install Python header files:

$ sudo apt-get install python2.7-dev python3-dev

Now that we have the proper system prerequisites installed, let’s move on.

Step #2: Set up a virtual environment

Virtual environments are critical to Python development and are a standard practice. Python virtual environments allow developers to created multiple, isolated development environments on a single machine. You could even use Python virtual environments to install two different versions of a package from the Python Package Index or another source.

I highly encourage you to use virtual environments for deep learning. If you aren’t convinced, then take a look at this RealPython article on why Python virtual environments are a best practice.

For the purposes of the rest of this install guide, we’ll create a Python virtual environment named

dl4cv

  — this is the name of virtual environment used inside my book, Deep Learning for Computer Vision with Python. I chose the name

dl4cv

  to keep naming consistent across my books/blog posts. You can use a different name if you so wish.

First we’ll install PIP, a Python package manager. Then we’ll install Python virtual environments and a handy wrapper tool. Subsequently we’ll create a virtual environment and be on our way.

Let’s install

pip

 :

$ wget http://ift.tt/1mn7OFn
$ sudo python get-pip.py
$ sudo python3 get-pip.py

Then we’ll need to pip-install the two Python virtual environment libraries we’ll be using:

$ sudo pip install virtualenv virtualenvwrapper
$ sudo rm -rf ~/.cache/pip get-pip.py

Now let’s update our

~/.bashrc

  file to include the following lines at the bottom of the file:

# virtualenv and virtualenvwrapper
export WORKON_HOME=$HOME/.virtualenvs
export VIRTUALENVWRAPPER_PYTHON=/usr/bin/python3
source /usr/local/bin/virtualenvwrapper.sh

Figure 1: Editing your ~/.bashrc file with virtualenvwrapper settings using nano terminal text editor.

Now that

~/.bashrc

  has been changed, we need to reload it:

$ source ~/.bashrc

You’ll see a few messages indicating that

virtualenvwrapper

  has configured itself on your system.

Creating the dl4cv virtual environment

For the purposes of my deep learning book we use Python 3, so let’s create a Python 3 environment on our system named

dl4cv

 . This environment will house relevant packages to deep learning and computer vision, particularly mxnet.

$ mkvirtualenv dl4cv -p python3

Each time you want to create a new virtual environment, simply supply a name and the Python version you’d like to use. It’s as simple as that. Today we just need the one environment, so let’s move on.

How do I know that I’m in the right environment or in an environment at all?

If you ever deactivate your virtual environment or restart your machine, you’ll need access your Python virtual environment before you resume your work.

To do this, simply use the

workon

  command:

$ workon dl4cv

In this case I’ve supplied the name of my environment,

dl4cv

 , but you would want to specify the name of the environment you desire to work with.

To verify that you’re in the environment you’ll see

(dl4cv)

  before the bash prompt as is shown in the image below:

Figure 2: Using the workon dl4cv command we can activate the dl4cv virtual environment. Similarly we can use the deactivate command to exit the environment.

To exit your environment, simply deactivate it:

$ deactivate

And then you’ll see that the

(dl4cv)

  has been removed from the beginning of the bash prompt as in Figure 2.

Step #3: Install OpenCV into the dl4cv virtual environment

In this section we will install OpenCV into the dl4cv virtual environment. First we’ll download and unzip OpenCV 3.3. Then we will build and compile OpenCV from source. Finally we will test that OpenCV has been installed.

Install NumPy

First we’ll install NumPy into the virtual environment:

$ workon dl4cv
$ pip install numpy

Download OpenCV

Next let’s download opencv and opencv_contrib into your home directory:

$ cd ~
$ wget -O opencv.zip http://ift.tt/2zyMxJh
$ wget -O opencv_contrib.zip http://ift.tt/2zUnn8H

You will need to expand the commands above (using the “<=>” button) to copy and past the full path to the 

opencv_contrib

  URL.

Then, let’s unzip both files:

$ unzip opencv.zip
$ unzip opencv_contrib.zip

Running CMake

Let’s create a 

build

  directory and run CMake:

$ cd ~/opencv-3.3.1/
$ mkdir build
$ cd build
$ cmake -D CMAKE_BUILD_TYPE=RELEASE \
    -D CMAKE_INSTALL_PREFIX=/usr/local \
    -D WITH_CUDA=OFF \
    -D INSTALL_PYTHON_EXAMPLES=ON \
    -D OPENCV_EXTRA_MODULES_PATH=~/opencv_contrib-3.3.1/modules \
    -D BUILD_EXAMPLES=ON ..

For CMake, it is important that your flags match mine for compatibility. Also, make sure that your 

opencv_contrib

  version is identical to the OpenCV version you downloaded (in this case version 

3.3.1

 ). If the versions do not match then your compile will fail.

Before we move on to the actual compilation step make sure you examine the output of CMake!

Start by scrolling to the section titled 

Python 3

 .

Make sure that your Python 3 section looks like the figure below:

Figure 3: OpenCV 3.3.1 CMake command results show that the dl4cv virtual environment will be used.

You’ll want to ensure that the Interpreter points to our 

python3.5

  binary located in the 

dl4cv

  virtual environment while 

numpy

  points to our NumPy install.

In either case if you do not see the 

dl4cv

  virtual environment in these variables’ paths, then it’s almost certainly because you are NOT in the 

dl4cv

  virtual environment prior to running CMake!

If this is the case, access the 

dl4cv

  virtual environment using 

workon dl4cv

  and re-run the command outlined above (I would also suggest deleting the 

build

  directory, re-creating it, and running CMake again).

Compiling OpenCV

Now we are now ready to compile OpenCV. Assuming that your

cmake

  command exited without error, ensure you are in the

build

  directory and execute the following command:

$ make -j4

Note: The 

-j

  flag specifies the number of processor cores to use for the compile. In this case I used 

-j4

  since my machine has four cores. If you run into compilation errors, you may run the command 

make clean

  and then just compile without the parallel flag: 

make

 .

From there, all you need to do is to install OpenCV 3.3 and then free up some disk space if you so desire:

$ sudo make install
$ sudo ldconfig
$ cd ~
$ rm -rf opencv-3.3.0 opencv.zip
$ rm -rf opencv_contrib-3.3.1 opencv_contrib.zip

Symbolic linking OpenCV to your virtual environment

To sym-link our OpenCV bindings into the 

dl4cv

  virtual environment, issue the following commands:

$ cd ~/.virtualenvs/dl4cv/lib/python3.5/site-packages/
$ ln -s /usr/local/lib/python3.5/site-packages/cv2.cpython-35m-x86_64-linux-gnu.so cv2.so
$ cd ~

Note: Again, make sure you use the “<=>” button in the toolbar above to expand the code block to grab the full

ln

  command (you don’t want to forget the

cv2.so

  file!)

Notice that I am using Python 3.5 in this example. If you are using Python 3.6 (or newer) you’ll want to update the paths above to use your specific Python version.

Secondly, your 

.so

  file (i.e., the actual OpenCV bindings) may be some variant of what is shown above, so be sure to use the appropriate file by double-checking the path.

Testing your OpenCV 3.3 install

Now that we’ve got OpenCV 3.3 installed and linked, let’s do a quick sanity test to see if things work:

$ workon dl4cv
$ python
>>> import cv2
>>> cv2.__version__
'3.3.1'

Make sure you are in the 

dl4cv

  virtual environment before firing up Python (

workon dl4cv

 ). When you print out the version, it should match the version of OpenCV that you installed (in our case, OpenCV 

3.3.1

 ).

That’s it — assuming you didn’t encounter an import error, you’re ready to go on to Step #4 where we will install mxnet.

Step #4

Follow the appropriate instructions for your system:

• Step #4.a: CPU-only mode
• Step #4.b: GPU mode

Step #4.a: Install mxnet for CPU-only mode

If you have a GPU machine and want to utilize your GPU(s) for deep learning with mxnet, then you should skip this step and proceed to Step #4.b — this section is intended for CPU-only usage.

Let’s clone the mxnet repository and checkout branch

0.11.0

  — a branch tested for use with my book, Deep Learning for Computer Vision with Python:

$ cd ~
$ git clone --recursive http://ift.tt/2wjU0qU mxnet --branch 0.11.0

Then we can compile mxnet:

$ cd mxnet
$ make -j4 \
        USE_OPENCV=1 \
        USE_BLAS=openblas

Finally, we need to sym-link mxnet to our dl4cv environment:

$ cd ~/.virtualenvs/dl4cv/lib/python3.5/site-packages/
$ ln -s ~/mxnet/python/mxnet mxnet
$ cd ~

Note: Be sure not to delete the mxnet directory in your home folder. Our Python bindings live there and we’ll also need the files in

~/mxnet/bin

  for creating serialized image datasets.

Step #4.b: Install mxnet for GPU mode

This step is only for GPU users. If you do not have a GPU on your machine please refer to the CPU-only instructions above.

First, we need to prepare our system to swap out the default drivers with NVIDIA CUDA drivers:

$ sudo apt-get install linux-image-generic linux-image-extra-virtual
$ sudo apt-get install linux-source linux-headers-generic

We’re now going to install the CUDA Toolkit. This part of the installation requires that you pay attention to all instructions and beware of system warnings and errors.

First, disable the Nouveau kernel driver by creating a new file:

$ sudo nano /etc/modprobe.d/blacklist-nouveau.conf

Then add the following lines to the file, followed by saving + exiting:

blacklist nouveau
blacklist lbm-nouveau
options nouveau modeset=0
alias nouveau off
alias lbm-nouveau off

Your screen should look like this if you are using

nano

 , but feel free to use oter terminal text editors:

Figure 4: The blacklist_noveau.conf file has been created prior to installing mxnet for deep learning with GPU capability.

Don’t forget this key step where we update the initial RAM filesystem and reboot the machine:

$ echo options nouveau modeset=0 | sudo tee -a /etc/modprobe.d/nouveau-kms.conf
$ sudo update-initramfs -u
$ sudo reboot

If you are connected via SSH, your session will end and you’ll have to wait a short time before reconnecting.

Install CUDA

Now let’s grab the CUDA Toolkit v8.0 from the NVIDIA CUDA Toolkit website:

http://ift.tt/2ihj27Q

You should then select the appropriate download for your system. I’m assuming that you are using Ubuntu 16.04, so your browser should look like this:

Figure 5: Selecting the CUDA 8.0 download for a GPU machine running Ubuntu 16.04.

Notice how I have selected

Linux => x86_64 => Ubuntu => 16.04 runfile (local)

 .

From that screen, download the

-run

  file which should have a filename of

cuda_8.0.61_375.26_linux-run

  or similar.

To do this, simply right click to copy the download link and use

wget

  back in your terminal download the file:

wget http://ift.tt/2mtsbcZ

Important: At the time of this writing there is a minor discrepancy on the NVIDIA website. As shown in Figure 5 under the “Base Installer” download, the filename (as is written) ends with

.run

  . The actual downloadable file ends with

-run

  . You should be good to go in copying my

wget

  + URL command for now unless NVIDIA changes the filename again.

Note: You will need to click the “<=>” button in the code block toolbar above to expand the code block. This will enable you to copy the full URL to the

-run

   file.

From there all you need to do is unpack the

-run

  file:

$ chmod +x cuda_8.0.61_375.26_linux-run
$ mkdir installers
$ sudo ./cuda_8.0.61_375.26_linux-run -extract=`pwd`/installers

Executing the

-run

  script can take about a minute.

Now let’s install the NVIDIA kernel driver:

$ cd installers
$ sudo ./NVIDIA-Linux-x86_64-375.26.run

You’ll need to follow the prompts on the screen during this step, one of which is to accept the EULA.

Then we can add the NVIDIA loadable kernel module to the Linux kernel:

$ modprobe nvidia

And finally, install the CUDA toolkit and examples:

$ sudo ./cuda-linux64-rel-8.0.61-21551265.run
$ sudo ./cuda-samples-linux-8.0.61-21551265.run

You will need to accept licenses and follow prompts again. When it asks you to specify installation paths, you can press <enter> to accept the defaults.

Now that the NVIDIA CUDA driver and tools are installed, let’s update

~/.bashrc

  to include the CUDA Toolkit using nano:

$ nano ~/.bashrc

Append these lines to the end of the file:

# NVIDIA CUDA Toolkit
export PATH=/usr/local/cuda-8.0/bin:$PATH
export LD_LIBRARY_PATH=/usr/local/cuda-8.0/lib64/

Next, reload the

~/.bashrc

  and test the CUDA Toolkit installation by compiling + running the

deviceQuery

  example program:

$ source ~/.bashrc
$ cd /usr/local/cuda-8.0/samples/1_Utilities/deviceQuery
$ sudo make
$ ./deviceQuery
deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 8.0, CUDA Runtime Version = 8.0,
 NumDevs = 1, Device0 = Tesla K80
Result = PASS

From here, if you have a

Result = PASS

 , then we’re ready to install cuDNN.

Install cuDNN

For this step, you will need to Create a free account with NVIDIA and download cuDNN.

For this tutorial be sure to download cuDNN v6.0 for Linux which is what TensorFlow requires (presuming you want to install TensorFlow on your deep learning machine alongside mxnet).

NVIDIA requires authentication to access the download, therefore you won’t be able to use

wget

  to download the file.

If you’re on a local machine you can simply download the cuDNN archive via your web browser.

However, if you are on a remote machine (i.e., SSH’ing into a machine) you’ll want to first download the file to your local machine and then use 

scp

  to transfer the file (while replacing

username

  and

your_ip_address

  with your appropriate values, of course):

$ scp -i EC2KeyPair.pem ~/Downloads/cudnn-8.0-linux-x64-v6.0.tgz \
        username@your_ip_address:~

Now that the file is on your remote GPU machine (EC2 in my case), untar the file and then copy the resulting files into 

lib64

  and 

include

  respectively, using the 

-P

  switch to preserve sym-links:

$ cd ~
$ tar -zxf cudnn-8.0-linux-x64-v6.0.tgz
$ cd cuda
$ sudo cp -P lib64/* /usr/local/cuda/lib64/
$ sudo cp -P include/* /usr/local/cuda/include/
$ cd ~

That’s it for installing cuDNN — this step was rather easy so as long as you preserved sym-links, you should be good to go.

Install mxnet with CUDA

Let’s clone the mxnet repository and checkout branch

0.11.0

  which has been tested for Deep Learning for Computer Vision with Python:

$ cd ~
$ git clone --recursive http://ift.tt/2wjU0qU mxnet --branch 0.11.0

Then we can compile mxnet:

$ cd mxnet
$ make -j4 \
        USE_OPENCV=1 \
        USE_BLAS=openblas \
        USE_CUDA=1 \
        USE_CUDA_PATH=/usr/local/cuda \
        USE_CUDNN=1

And finally we need to sym-link mxnet to our

dl4cv

  environment:

$ cd ~/.virtualenvs/dl4cv/lib/python3.5/site-packages/
$ ln -s ~/mxnet/python/mxnet mxnet
$ cd ~

Note: Be sure not to delete the mxnet directory in your home folder. Our Python bindings live there and we’ll also need the files in

~/mxnet/bin

  for creating serialized image datasets.

Step #5: Validating install

The last step is to test if mxnet has been properly installed:

$ workon dl4cv
$ python
>>> import mxnet
>>>

Figure 6: Validating our mxnet for deep learning install completed successfully.

If mxnet imports without errors, then congratulations — you have successfully installed mxnet for deep learning.

Where to from here?

Congratulations on getting mxnet installed on your system!

But now that you have mxnet installed, what are the next steps?

How do you…

• …train your first Convolutional Neural Network?
• …utilize multiple-GPUs to dramatically reduce training time?
• …replicate state-of-the-art results from seminal deep learning papers (including ResNet, SqueezeNet, AlexNet, and others) on the challenging ImageNet dataset?

If you’re interested in taking the next step on your journey to deep learning mastery, I’m confident you’d really enjoy my new book, Deep Learning for Computer Vision with Python.

Just click on the link above to take a look.

And while you’re at it, be sure to grab your (FREE) table of contents + sample chapters PDF:

In particular, I recommend you take a look at Chapter 5 of the ImageNet Bundle (one of the free sample chapters) where I demonstrate how to train AlexNet on the ImageNet dataset using mxnet.

In the AlexNet chapter, I:

1. Provide a thorough discussion of the AlexNet architecture.
2. Implement the AlexNet architecture from scratch (and explain each line of code ensuring you know exactly what is going on under the hood).
3. Include detailed experiments discussing how I tune the parameters of AlexNet to achieve higher accuracy experiment after experiment.
4. Obtain 59.80% rank-1 and 81.75% rank-5 accuracy on ImageNet (which is higher accuracy than current independent papers and publications).

You’ve got nothing to lose — there are no strings attached to the free download of the entire table of contents of my 800+ page book.

To claim your free table of contents + sample chapters, simply head to the Deep Learning for Computer Vision with Python page now.

Summary

In today’s blog post you learned how to install mxnet for deep learning on your Ubuntu machine for both CPU only and GPU-based training.

Once you start using mxnet you’ll find that it:

• Includes Caffe-like binaries to help you build efficiently backed image record files (which will save you a lot of disk space).
• Provides a Keras-like API to building deep neural networks (although mxnet is certainly more verbose than Keras).

Now that you have your deep learning environment configured, I suggest you take the next step and check out my brand new book, Deep Learning for Computer Vision with Python.

Inside the book you’ll start by learning the fundamentals of deep learning and then graduate to more advanced content, including training networks on the challenging ImageNet dataset from scratch.

You’ll also find my personal blueprint/best practices that I use to determine which deep learning techniques to apply when confronted with a new problem.

To learn more about Deep Learning for Computer Vision with Python, just click here.

Otherwise, be sure to enter your email address in the form below to be notified when new blog posts are published here on PyImageSearch.

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Integral2 and anonymous function in a matrix

Integral2 and anonymous function in a matrix. Learn more about integral2, functions.

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Post as an Anonymous User

How could we allow anonymous users to post? I am trying to understand how logged in users and non-logged in users could post via the same form.

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Anonymous Boh

anonymous boh · diverse universe · illustration · non grata · performance · portrait · statement · vector. keyboard shortcuts: L or F like Z toggle zoom ...

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A Happy Sky over Los Angeles

Sometimes, the sky may seem to smile over much of planet Earth. On this day in 2008, visible the world over, was an unusual superposition of our Moon and the planets Venus and Jupiter. Pictures taken at the right time show a crescent Moon that appears to be a smile when paired with the planetary conjunction of seemingly nearby Jupiter and Venus. Pictured here is the scene as it appeared from Mt. Wilson Observatory overlooking Los Angeles, California, USA after sunset on 2008 November 30. Highest in the sky and farthest in the distance is the planet Jupiter. Significantly closer and visible to Jupiter's lower left is Venus, appearing through Earth's atmospheric clouds as unusually blue. On the far right, above the horizon, is our Moon, in a waxing crescent phase. Thin clouds illuminated by the Moon appear unusually orange. Sprawling across the bottom of the image are the hills of Los Angeles, many covered by a thin haze, while LA skyscrapers are visible on the far left. Hours after the taking of this image, the Moon approached the distant duo, briefly eclipsed Venus, and then moved on. This week, another conjunction of Venus and Jupiter is occurring and is visible to much of planet Earth to the east just before sunrise. via NASA http://ift.tt/2yQsEy2