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You're reading from  Hands-On Reinforcement Learning with Python

Product typeBook
Published inJun 2018
Reading LevelIntermediate
PublisherPackt
ISBN-139781788836524
Edition1st Edition
Languages
Python
Tools
TensorFlowKeras
Concepts
Reinforcement Learning
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Author (1)
Sudharsan Ravichandiran
Sudharsan Ravichandiran
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Sudharsan Ravichandiran

Sudharsan Ravichandiran is a data scientist and artificial intelligence enthusiast. He holds a Bachelors in Information Technology from Anna University. His area of research focuses on practical implementations of deep learning and reinforcement learning including natural language processing and computer vision. He is an open-source contributor and loves answering questions on Stack Overflow.
Read more about Sudharsan Ravichandiran

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Long Short-Term Memory RNN

RNNs are pretty cool, right? But we have seen a problem in training the RNNs called the vanishing gradient problem. Let's explore that a bit. The sky is __. An RNN can easily predict the last word as blue based on the information it has seen. But an RNN cannot cover long-term dependencies. What does that mean? Let's say Archie lived in China for 20 years. He loves listening to good music. He is a very big comic fan. He is fluent in _. Now, you would predict the blank as Chinese. How did you predict that? Because you understood that Archie lived for 20 years in China, you thought he might be fluent in Chinese. But an RNN cannot retain all of this information in memory to say that Archie is fluent in Chinese. Due to the vanishing gradient problem, it cannot recollect/remember the information for a long time in memory. How do we solve that?

Here...

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Hands-On Reinforcement Learning with Python
Published in: Jun 2018Publisher: PacktISBN-13: 9781788836524
© 2018 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Sudharsan Ravichandiran

Sudharsan Ravichandiran is a data scientist and artificial intelligence enthusiast. He holds a Bachelors in Information Technology from Anna University. His area of research focuses on practical implementations of deep learning and reinforcement learning including natural language processing and computer vision. He is an open-source contributor and loves answering questions on Stack Overflow.
Read more about Sudharsan Ravichandiran

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