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53 lines
1.4 KiB
Markdown
53 lines
1.4 KiB
Markdown
# 🍓 My Resources for AI, ML, and DNN 🍓
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## Learning
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## Getting the 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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* [Deep Learning weekly](http://www.deeplearningweekly.com/).
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## Machine Learning in General
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* [Stanford's Machine Learning Course](http://cs229.stanford.edu/)
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* [A Chart of Neural Networks](http://www.asimovinstitute.org/neural-network-zoo/).
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### Fun:
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* [Machine Learning for Artists](http://ml4a.github.io/index/).
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* [LossFunctions.tumblr](http://lossfunctions.tumblr.com/).
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* [CreativeAI](http://www.creativeai.net/).
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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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* [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).
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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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## Working
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### Benchmarkers
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* [DeepBench](https://github.com/baidu-research/DeepBench).
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