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Java Deep Learning Projects
book

Java Deep Learning Projects

by Md. Rezaul Karim
June 2018
Intermediate to advanced content levelIntermediate to advanced
436 pages
10h 33m
English
Packt Publishing
Content preview from Java Deep Learning Projects

Recurrent and LSTM networks

As discussed in Chapter 1Getting Started with Deep Learning, RNNs make use of information from the past; they can make predictions in data with high temporal dependencies. A more explicit architecture can be found in following diagram where the temporally shared weights w2 (for the hidden layer) must be learned in addition to w1 (for the input layer) and w3 (for the output layer). From a computational point of view, an RNN takes many input vectors to process and generate output vectors. Imagine that each rectangle in the following diagram has a vectorial depth and other special hidden quirks:

An RNN architecture ...
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Publisher Resources

ISBN: 9781788997454Supplemental Content