- An Intuitive Tutorial of Stochastic Gradient Descent (13 lines of Python) http://iamtrask.github.io/2015/07/27/python-network-part2/ 4 comments programming
Linking pages
- How to Code and Understand DeepMind's Neural Stack Machine - i am trask https://iamtrask.github.io/2016/02/25/deepminds-neural-stack-machine/?i=4 16 comments
- Tutorial: Deep Learning in PyTorch - i am trask https://iamtrask.github.io/2017/01/15/pytorch-tutorial/ 15 comments
- Deep Learning without Backpropagation - i am trask https://iamtrask.github.io/2017/03/21/synthetic-gradients/?hn=3 12 comments
- GitHub - practical-tutorials/project-based-learning: Curated list of project-based tutorials https://github.com/tuvtran/project-based-learning 11 comments
- GitHub - practical-tutorials/project-based-learning: Curated list of project-based tutorials https://github.com/practical-tutorials/project-based-learning 8 comments
- GitHub - codeeverything/wilson: A simple neural network in NodeJS https://github.com/codeeverything/wilson 7 comments
- How to Code and Understand DeepMind's Neural Stack Machine - i am trask https://iamtrask.github.io/2016/02/25/deepminds-neural-stack-machine/ 3 comments
- How to Code and Understand DeepMind's Neural Stack Machine - i am trask https://iamtrask.github.io/2016/02/25/deepminds-neural-stack-machine/?hn=true 0 comments
- Deep Learning without Backpropagation - i am trask https://iamtrask.github.io/2017/03/21/synthetic-gradients/?hn=1 0 comments
- GitHub - practical-tutorials/project-based-learning: Curated list of project-based tutorials https://github.com/tuvttran/project-based-learning 0 comments
- Private Deep Learning with MPC - Cryptography and Machine Learning https://mortendahl.github.io/2017/04/17/private-deep-learning-with-mpc/ 0 comments
- Over 150 of the Best Machine Learning, NLP, and Python Tutorials I’ve Found | by Robbie Allen | Machine Learning in Practice | Medium https://medium.com/machine-learning-in-practice/over-150-of-the-best-machine-learning-nlp-and-python-tutorials-ive-found-ffce2939bd78 0 comments
- Hinton's Dropout in 3 Lines of Python - i am trask http://iamtrask.github.io/2015/07/28/dropout/ 0 comments
- How to Code and Understand DeepMind's Neural Stack Machine - i am trask https://iamtrask.github.io/2016/02/25/deepminds-neural-stack-machine/?hn=1 0 comments
- Over 200 of the Best Machine Learning, NLP, and Python Tutorials — 2018 Edition | by Robbie Allen | Machine Learning in Practice | Medium https://medium.com/machine-learning-in-practice/over-200-of-the-best-machine-learning-nlp-and-python-tutorials-2018-edition-dd8cf53cb7dc 0 comments
- Applied Deep Learning - Part 1: Artificial Neural Networks | by Arden Dertat | Towards Data Science https://medium.com/@ardendertat_47074/applied-deep-learning-part-1-artificial-neural-networks-d7834f67a4f6 0 comments
Linked pages
- https://indeed.com 774 comments
- A Neural Network in 11 lines of Python (Part 1) - i am trask https://iamtrask.github.io/2015/07/12/basic-python-network/ 320 comments
- http://rodrigob.github.io/are_we_there_yet/build/classification_datasets_results.html 19 comments
- http://www.deeplearning.net/software/theano/ 12 comments
- machine learning - What is the role of the bias in neural networks? - Stack Overflow https://stackoverflow.com/questions/2480650/what-is-the-role-of-the-bias-in-neural-networks 12 comments
- Torch | Scientific computing for LuaJIT. http://torch.ch/ 9 comments
- [1502.03167] Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift http://arxiv.org/abs/1502.03167 6 comments
- Caffe | Deep Learning Framework http://caffe.berkeleyvision.org/ 3 comments
- Dropout: A simple and effective way to improve neural networks - VideoLectures.NET http://videolectures.net/nips2012_hinton_networks/ 0 comments
- [1412.6980] Adam: A Method for Stochastic Optimization http://arxiv.org/abs/1412.6980 0 comments
- Archiving & Compliance for Financial Services & Government | Smarsh http://www.digitalreasoning.com/buzz/digital-reasoning-trains-worlds-largest-neural-network-shatters-record-previously-set-by-google.1672770 0 comments
- http://www.robertsdionne.com/bouncingball/ 0 comments
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