Git-Mirrors/tensorflow-for-deep-learning-py
1
0
Fork 0
mirror of https://github.com/autistic-symposium/tensorflow-for-deep-learning-py.git synced 2025-05-10 18:54:57 -04:00
Code Issues Projects Releases Packages Wiki Activity

readme adds

Browse source
This commit is contained in:
Marina von Steinkirch 2016-09-27 13:27:32 -07:00
parent d6a0b0e213
commit a4c091b54b
1 changed files with 32 additions and 16 deletions
Download patch file Download diff file Expand all files Collapse all files

48
README.md
View file

@ -1,35 +1,51 @@
# Machine Learning Resources # Resources for Artificial Inteligence, Machine Learning, and Deep Learning
Just a place where I dump ML+DL+AI stuff.
Fun.
# Learning # Learning
## Online courses: ## News
* [UCL Course on RL](http://www0.cs.ucl.ac.uk/staff/d.silver/web/Teaching.html)
* [Stanford's Convolutional Neural Networks for Visual Recognition](http://cs231n.stanford.edu/)
* [Stanford's Machine Learning](http://cs229.stanford.edu/)
* [NVIDIA Deep Learning Course](https://www.youtube.com/playlist?list=PL5B692fm6--tI-ijknnVZWbXU2H4JpSYe)
## Resources:
* Check [my blog](http://bt3gl.github.io/) :).
* Feedly with [list of blogs to follow](https://raw.githubusercontent.com/bt3gl/Machine-Learning-Resources/master/ml_ai_feedly.opml). * Feedly with [list of blogs to follow](https://raw.githubusercontent.com/bt3gl/Machine-Learning-Resources/master/ml_ai_feedly.opml).
* Check [my blog](http://bt3gl.github.io/) :).
* [CreativeAI](http://www.creativeai.net/). * [CreativeAI](http://www.creativeai.net/).
* [Deep Learning weekly](http://www.deeplearningweekly.com/). * [Deep Learning weekly](http://www.deeplearningweekly.com/).
## Books ---
* [Multiple View Geometry in CV](https://www.goodreads.com/book/show/18938711-multiple-view-geometry-in-computer-vision). ## Machine Learning in General
## Fun: * [Stanford's Machine Learning](http://cs229.stanford.edu/)
### Fun:
* [LossFunctions.tumblr](http://lossfunctions.tumblr.com/). * [LossFunctions.tumblr](http://lossfunctions.tumblr.com/).
---
## Deep Learning
### Reinforcement Learning
* [UCL Course on RL](http://www0.cs.ucl.ac.uk/staff/d.silver/web/Teaching.html)
### ConvNets
* [Stanford's Convolutional Neural Networks for Visual Recognition](http://cs231n.stanford.edu/)
### Hardware
* [NVIDIA Deep Learning Course](https://www.youtube.com/playlist?list=PL5B692fm6--tI-ijknnVZWbXU2H4JpSYe)
### Computer Vision
* [Multiple View Geometry in CV](https://www.goodreads.com/book/show/18938711-multiple-view-geometry-in-computer-vision).
----
# Working # Working