# Resources for Machine Learning

* [Tensorflow](https://github.com/bt3gl/Resources-Machine_Learning/tree/master/TensorFlow).
* [Caffe](https://github.com/bt3gl/Resources-Machine_Learning/tree/master/Caffe).
* [Talks](https://github.com/bt3gl/Resources-Machine_Learning/tree/master/Talks).
* [Notebooks](https://github.com/bt3gl/Resources-Machine_Learning/tree/master/Notebooks).
* [Docker images](https://github.com/bt3gl/Resources-Machine_Learning/tree/master/Docker_Images).
* [Numpy](https://github.com/bt3gl/Resources-Machine_Learning/tree/master/Numpy).



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## Learning


### Courses

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


## Deep Learning


* [A Chart of Neural Networks](http://www.asimovinstitute.org/neural-network-zoo/).
* [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/)
* [The 9 CNN Papers You Need To Know About](https://adeshpande3.github.io/adeshpande3.github.io/The-9-Deep-Learning-Papers-You-Need-To-Know-About.html).
* [NVIDIA Deep Learning Course](https://www.youtube.com/playlist?list=PL5B692fm6--tI-ijknnVZWbXU2H4JpSYe)
* [DeepBench](https://github.com/baidu-research/DeepBench).



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## License

This work is licensed under a [Creative Commons Attribution-ShareAlike 4.0 International License](http://creativecommons.org/licenses/by-sa/4.0/). When making a reference to my work, please use my [website](http://bt3gl.github.io/index.html).