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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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Questions

The question list is as follows:

  1. What is the difference between linear regression and neural networks?
  2. What is the use of the activation function?
  3. Why do we need to calculate the gradient in gradient descent?
  4. What is the advantage of an RNN?
  5. What are vanishing and exploding gradient problems?
  6. What are gates in LSTM?
  7. What is the use of the pooling layer?
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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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