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Signed-off-by: Mia Steinkirch <mia.steinkirch@gmail.com>
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# 🍓 My Resources for AI, ML, and DNN 🍓
# 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).
----
## Learning
## Getting the 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/) :).
* [Deep Learning weekly](http://www.deeplearningweekly.com/).
## Machine Learning in General
### Courses
* [Stanford's Machine Learning Course](http://cs229.stanford.edu/)
* [A Chart of Neural Networks](http://www.asimovinstitute.org/neural-network-zoo/).
### Fun:
* [Machine Learning for Artists](http://ml4a.github.io/index/).
* [LossFunctions.tumblr](http://lossfunctions.tumblr.com/).
* [CreativeAI](http://www.creativeai.net/).
## Deep Learning
### Reinforcement 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)
### ConvNets
* [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).
### 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
### Benchmarkers
* [DeepBench](https://github.com/baidu-research/DeepBench).
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## License
When making a reference to my work, please use my [website](http://bt3gl.github.io/index.html).
<a rel="license" href="http://creativecommons.org/licenses/by-sa/4.0/"><img alt="Creative Commons License" style="border-width:0" src="http://i.creativecommons.org/l/by-sa/4.0/88x31.png" /></a><br />
This work is licensed under a [Creative Commons Attribution-ShareAlike 4.0 International License](http://creativecommons.org/licenses/by-sa/4.0/).
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).