Linking pages
- Applied Deep Learning - Part 4: Convolutional Neural Networks | by Arden Dertat | Towards Data Science https://towardsdatascience.com/applied-deep-learning-part-4-convolutional-neural-networks-584bc134c1e2 0 comments
- Applied Deep Learning - Part 3: Autoencoders | by Arden Dertat | Towards Data Science https://medium.com/towards-data-science/applied-deep-learning-part-3-autoencoders-1c083af4d798 0 comments
Linked pages
- Neural networks and deep learning http://neuralnetworksanddeeplearning.com/chap2.html#the_four_fundamental_equations_behind_backpropagation 64 comments
- Neural networks and deep learning http://neuralnetworksanddeeplearning.com/chap1.html 59 comments
- Keras: the Python deep learning API https://keras.io 46 comments
- An overview of gradient descent optimization algorithms http://ruder.io/optimizing-gradient-descent/ 31 comments
- Medium https://medium.com/m/signin?isDraft=1&operation=login&redirect=https%3A%2F%2Fmedium.com%2F%40jamie_34747%2F79d382edf22b%3Fsource%3D 19 comments
- http://u.cs.biu.ac.il/~yogo/nnlp.pdf 8 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
- https://ml.berkeley.edu/blog/2017/02/04/tutorial-3/ 2 comments
- CS231n Convolutional Neural Networks for Visual Recognition https://cs231n.github.io/optimization-2/ 0 comments
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