Neural Networks
From Robin
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Here we will gather useful information and resources for learning about and using neural networks. Feel free to add information here! | Here we will gather useful information and resources for learning about and using neural networks. Feel free to add information here! | ||
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| + | ==Presentations== | ||
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| + | * [https://docs.google.com/presentation/d/e/2PACX-1vTpAadWGnccwlDdXOdNpPSwagLWFakcXQwd0XlVfOuZvTDNVSFJNTISLTz8CFBmip7a0_fUcihUV29J/pub Slides: RNNs, LSTMs, and MDNs (Charles Martin, 6/11/2017)] | ||
==Resources== | ==Resources== | ||
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| + | * [http://colah.github.io/posts/2015-08-Understanding-LSTMs/ Colah: Understanding LSTMs] | ||
| + | * [http://karpathy.github.io/neuralnets/ Hacker's Guide to Neural Nets] | ||
| + | * [https://gym.openai.com/ OpenAI reinforcement learning gym] | ||
===Software=== | ===Software=== | ||
Current revision as of 14:54, 6 November 2017
Here we will gather useful information and resources for learning about and using neural networks. Feel free to add information here!
Contents |
Presentations
Resources
Software
- Tensorflow - numerical computation software, great for defining ANNs.
Books
- Deep Learning (Ian Goodfellow, Yoshua Bengio and Aaron Courville): https://github.com/HFTrader/DeepLearningBook
- Hands-On Machine Learning with Scikit-Learn and TensorFlow
- http://statweb.stanford.edu/~tibs/ElemStatLearn/printings/ESLII_print10.pdf
