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54 lines
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1.1 KiB
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54 lines
No EOL
1.1 KiB
Markdown
# Resources for Artificial Inteligence, Machine Learning, and Deep Learning
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Fun.
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# Learning
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## News
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* Feedly with [list of blogs to follow](https://raw.githubusercontent.com/bt3gl/Machine-Learning-Resources/master/ml_ai_feedly.opml).
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* Check [my blog](http://bt3gl.github.io/) :).
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* [CreativeAI](http://www.creativeai.net/).
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* [Deep Learning weekly](http://www.deeplearningweekly.com/).
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---
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## Machine Learning in General
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* [Stanford's Machine Learning](http://cs229.stanford.edu/)
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### Fun:
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* [LossFunctions.tumblr](http://lossfunctions.tumblr.com/).
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---
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## Deep Learning
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### Reinforcement Learning
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* [UCL Course on RL](http://www0.cs.ucl.ac.uk/staff/d.silver/web/Teaching.html)
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### ConvNets
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* [Stanford's Convolutional Neural Networks for Visual Recognition](http://cs231n.stanford.edu/)
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### Hardware
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* [NVIDIA Deep Learning Course](https://www.youtube.com/playlist?list=PL5B692fm6--tI-ijknnVZWbXU2H4JpSYe)
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### Computer Vision
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* [Multiple View Geometry in CV](https://www.goodreads.com/book/show/18938711-multiple-view-geometry-in-computer-vision).
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----
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# Working
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## Benchmarkers
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* [DeepBench](https://github.com/baidu-research/DeepBench). |