christoschristofidis / awesome-deep-learning Goto Github PK

Deep learning is very fast moving.
It would be nice for the links to have at least a year date on them (for static content) so that new developments are more discoverable.

The link for the University of Minnesota 'Vision Lab' is broken. The link is currently http://vision.psych.umn.edu/www/kersten-lab/kersten-lab.html

It should be http://vision.psych.umn.edu/users/kersten//kersten-lab/kersten-lab.html

There is a broken link for Visual Studio Tools for AI under TOOLS section

Seems that not found from 2011! Alternate you can provide a link to the archive.:
https://web-beta.archive.org/web/20011216051535/vision.psych.umn.edu/www/kersten-lab/demos/digitalembryo.html

Hi i want to learn web development from basic to advance , I have experience in WordPress website creation .
please give me Best advice for international web development course that is less in cost and worth it in market .

thanks

The link to Derek Rose (http://mil.engr.utk.edu/nmil/member/5) will return a 404 error. The actual link is probably http://mil.engr.utk.edu/nmil/member/5.html.

Hi guys
I'm conducting a survey on Telegram app using a bot which contains my survey but I was wondering if Telegram bots can be hacked? [I hope not]
It's such a crucial matter to me as my research project depends on it.
Thanks.

There is a small typo in README.md.
Should read engineering rather than engineerign.

This link seems to be wrong :
Convolutional Neural Networks for Visual Recognition - Stanford by Fei-Fei Li, Andrej Karpathy (2015)

Hi,

Thanks for this great list!
I would suggest to create subsections in the papers list, like Image, Audio, Video, NN architecture,... that would make the list more readable.
For the audio part, I have made a repo there: https://github.com/ybayle/awesome-deep-learning-music, that you can link to.

P.S.: There is a little double n typo here: Google - Sequence to Sequence Learning with Nneural Networks

Hello, I wrote a tool that can validate README links (valid URLs, not duplicate). It can be run when someone submits a pull request.

It is currently being used by

• https://github.com/vsouza/awesome-ios
• https://github.com/matteocrippa/awesome-swift
• https://github.com/dkhamsing/open-source-ios-apps

Examples

• https://travis-ci.org/matteocrippa/awesome-swift/builds/96526196 ok ✅
• https://travis-ci.org/matteocrippa/awesome-swift/builds/96722421 link redirected / rename 🔴
• https://travis-ci.org/dkhamsing/open-source-ios-apps/builds/96763135 bad link / project deleted 🔴
• https://travis-ci.org/dkhamsing/open-source-ios-apps/builds/95754715 dupe 🔴

If you are interested, connect this repo to https://travis-ci.org/ and add a .travis.yml file to the project.

See https://github.com/dkhamsing/awesome_bot for options, more information
Feel free to leave a comment 😄

Here's the invite link to the global Tensorflow User Group Slack channel (tensorflow-user-group.slack.com): https://join.slack.com/t/tensorflow-user-group/shared_invite/MjE5MzM5ODUxMDI3LTE1MDEzMDcyODItYTU3MzBjZmJjNw

Under "free online books" section, link to: "Deep Learning by Yoshua Bengio, Ian Goodfellow and Aaron Courville (05/07/2015)" has changed.
The new link is www.deeplearningbook.org.
Infact older link does point to the newer link but I thought its better to point this out.
Please change it if you will.

from Berkeley uni. It has videos, PDFs
http://rll.berkeley.edu/deeprlcourse/

INVALID LINKS-->
Section: Websites

1. http://deeplearning.net/
   Section: Frameworks
2. http://deeplearning.net/software/theano/

Suggested Links:

1. https://www.deeplearning.ai/
2. https://github.com/Theano/Theano

You can add the software used by deep learning from wikipedia

The following Link 22 of Tutorials is broken
Keras Tutorial: Content Based Image Retrieval Using a Convolutional Denoising Autoencoder

can we add a list of projects that are really good so the community can learn by doing

1. "Introduction to Deep Learning" http://introtodeeplearning.com/
2. "Deep Learning for Self-Driving Cars" http://selfdrivingcars.mit.edu/