Hacker News
- A bare bones neural network in Python to teach backpropagation (2015) http://iamtrask.github.io/2015/07/12/basic-python-network 2 comments
- A Neural Network in 11 Lines of Python (2015) http://iamtrask.github.io/2015/07/12/basic-python-network/ 26 comments
- A Neural Network in 11 Lines of Python https://iamtrask.github.io/2015/07/12/basic-python-network/ 16 comments
- A Neural Network in 11 Lines of Python http://iamtrask.github.io/2015/07/12/basic-python-network/ 41 comments
- Toy Neural Network in Rust https://iamtrask.github.io/2015/07/12/basic-python-network/ 4 comments rust
- Does gradient calculated by backprop always displays the direction of greates ascension? Are there any exceptions? Stumbled upon opposite situation when was creating a simple NN from scratch in Python. https://iamtrask.github.io/2015/07/12/basic-python-network/ 4 comments learnmachinelearning
- A Neural Network in 11 lines of Python: very helpful http://iamtrask.github.io/2015/07/12/basic-python-network/ 12 comments learnmachinelearning
- Really basic question about neural networks http://iamtrask.github.io/2015/07/12/basic-python-network/ 3 comments learnprogramming
- A Neural Network in 11 lines of Python (Part 1) https://iamtrask.github.io/2015/07/12/basic-python-network/ 5 comments programming
- A Neural Network in 11 lines of Python https://iamtrask.github.io/2015/07/12/basic-python-network/ 4 comments datascience
- A Neural Network in 11 lines of Python. A bare bones neural network implementation to describe the inner workings of backpropagation. http://iamtrask.github.io/2015/07/12/basic-python-network/ 202 comments programming
Linking pages
- GitHub - codecrafters-io/build-your-own-x: Master programming by recreating your favorite technologies from scratch. https://github.com/danistefanovic/build-your-own-x 528 comments
- Building Safe A.I. - i am trask https://iamtrask.github.io/2017/03/17/safe-ai/ 95 comments
- Safe Crime Detection - i am trask https://iamtrask.github.io/2017/06/05/homomorphic-surveillance/?hn=1 52 comments
- Perceptrons - the most basic form of a neural network · Applied Go https://appliedgo.net/perceptron/ 29 comments
- GitHub - trentsartain/Neural-Network: This is a configurable Neural Network written in C#. The Network functionality is completely decoupled from the UI and can be ported to any project. You can also export and import fully trained networks and datasets. https://github.com/trentsartain/neural-network 28 comments
- How to build a simple neural network in 9 lines of Python code | by Milo Spencer-Harper | Technology, Invention, App, and More | Medium https://medium.com/technology-invention-and-more/how-to-build-a-simple-neural-network-in-9-lines-of-python-code-cc8f23647ca1 24 comments
- Anyone Can Learn To Code an LSTM-RNN in Python (Part 1: RNN) - i am trask http://iamtrask.github.io/2015/11/15/anyone-can-code-lstm/ 20 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/?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
- Learning How To Code Neural Networks | by Per Harald Borgen | Learning New Stuff | Medium https://medium.com/@oslokommuneper/how-to-learn-neural-networks-758b78f2736e#.s0p5o4cxa 9 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
- A Neural Network in 13 lines of Python (Part 2 - Gradient Descent) - i am trask http://iamtrask.github.io/2015/07/27/python-network-part2/ 4 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
- GitHub - surajsharma/x-in-y-lines: Succintly written (&ampampampampampampampampampampampampampampampampLT1000 non-obfuscated loc), fully-functional software in any language https://github.com/surajsharma/x-in-y-lines 1 comment
- How to build a Neural Net in three lines of math https://medium.freecodecamp.org/how-to-build-a-neural-net-in-three-lines-of-math-a0c42f45c40e 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=true 0 comments
- Deep Learning without Backpropagation - i am trask https://iamtrask.github.io/2017/03/21/synthetic-gradients/?hn=1 0 comments
Linked pages
- https://indeed.com 754 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
- A Neural Network in 10 lines of C++ Code | Cognitive Demons https://cognitivedemons.wordpress.com/2017/07/06/a-neural-network-in-10-lines-of-c-code/ 11 comments
- Torch | Scientific computing for LuaJIT. http://torch.ch/ 9 comments
- Sigmoid function - Wikipedia https://en.wikipedia.org/wiki/Sigmoid_function 6 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
- The Jupyter Notebook — IPython http://ipython.org/notebook.html 1 comment
- Dropout: A simple and effective way to improve neural networks - VideoLectures.NET http://videolectures.net/nips2012_hinton_networks/ 0 comments
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