# Resources for Artificial Inteligence, Machine Learning, and Deep Learning

Fun.

# Learning

## News

* 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/).
* [Deep Learning weekly](http://www.deeplearningweekly.com/).


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## Machine Learning in General

* [Stanford's Machine Learning](http://cs229.stanford.edu/)


### Fun:

* [LossFunctions.tumblr](http://lossfunctions.tumblr.com/).

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## 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).


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# Working

## Benchmarkers

* [DeepBench](https://github.com/baidu-research/DeepBench).