自动微分 Automatic differentiation

Automatic Differentiation in Deep/Machine Learning Platforms

https://github.com/HIPS/autograd

https://github.com/bshillingford/autobw.torch for torch.

Automatic Differentiation, A.K.A please save me from backprop!

Reverse-Mode Automatic Differentiation in Haskell Using the Accelerate Library

Automatic differentiation in machine learning: a survey

dl-frameworks.rst
A comparison of Theano with other deep learning frameworks, highlighting a series of low-level design choices in no particular order.

Automatic Differentiation (2009) _ Hacker News.pdf

Automatic Differentiation and Neural Networks note8
自动微分与神经网络note8

Automatic Differentiation and Backpropagation CS701

Automatic Differentiation of Algorithms for Machine Learning

Can you give a visual explanation for the back propagation algorithm for neural networks?

Automatic Differentiation Or, mathemagically finding derivatives

TensorFlow
Auto-Differentiation
Gradient based machine learning algorithms will benefit from TensorFlow's automatic differentiation capabilities. As a TensorFlow user, you define the computational architecture of your predictive model, combine that with your objective function, and just add data -- TensorFlow handles computing the derivatives for you. Computing the derivative of some values w.r.t. other values in the model just extends your graph, so you can always see exactly what's going on.