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Reinforcement Learning with TensorFlow
book

Reinforcement Learning with TensorFlow

by Sayon Dutta
April 2018
Intermediate to advanced content levelIntermediate to advanced
334 pages
10h 18m
English
Packt Publishing
Content preview from Reinforcement Learning with TensorFlow

Long Short Term Memory Networks

RNNs practically fail to handle long term dependencies. As the gap between the output data point in the output sequence and the input data point in the input sequence increases, RNNs fail in connecting the information between the two. This usually happens in text-based tasks such as machine translation, audio to text, and many more where the length of sequences are long.

Long Short Term Memory Networks, also knows as LSTMs (introduced by Hochreiter and Schmidhuber), are capable of handling these long-term dependencies. Take a look at the image given here:

The key feature of LSTM is the cell state . This helps ...

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Publisher Resources

ISBN: 9781788835725Supplemental Content