April 2017
Intermediate to advanced
320 pages
7h 46m
English
Content preview from Deep Learning with TensorFlow
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RNNs at work
The state vector St is calculated starting from the current input and the state vector in previous time, through the U and W matrices:
f is a nonlinear function such as tanh or ReLU. As you can see, the two terms in the function are added together before being processed by the function itself.
Finally, Ot; is the network output, calculated using the matrix V:
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