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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

Overcoming the limitations of deep learning

These two possible problems can be overcome by:

  • Minimizing the use of the sigmoid and tanh activation functions
  • Using a momentum-based stochastic gradient descent
  • Proper initialization of weights and biases, such as xavier initialization
  • Regularization (add regularization loss along with data loss and minimize that)
For more detail, along with mathematical representations of the vanishing and exploding gradient, you can read this article:  Intelligent Signals : Unstable Deep Learning. Why and How to solve them ? 
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Publisher Resources

ISBN: 9781788835725Supplemental Content