July 2019
Intermediate to advanced
512 pages
19h 39m
English
Content preview from Hands-On Deep Learning Algorithms with Python
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Defining forward propagation
Let's define the forward propagation involved in the RNN, which is mathematically given as follows:
The 
and 
are the biases of the hidden and output layers, respectively. For simplicity, we haven't added them to our equations in the previous sections. Forward propagation can be implemented as follows:
with tf.variable_scope("RNN") ...Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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