November 2017
Intermediate to advanced
274 pages
6h 16m
English
Content preview from Neural Network Programming with TensorFlow
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Gradient
Gradient for functions with respect to a real-valued matrix A is defined as the matrix of partial derivatives of A and is denoted as follows:
TensorFlow does not do numerical differentiation; rather, it supports automatic differentiation. By specifying operations in a TensorFlow graph, it can automatically run the chain rule through the graph and, as it knows the derivatives of each operation we specify, it can combine them automatically.
The following example shows training a network using MNIST data, the MNIST database consists of ...
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