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Deep Neural Networks-II

  • Abhijit GhatakEmail author
Chapter

Abstract

We will implement a multi-layered neural network with different hyperparameters
  • Hidden layer activations

  • Hidden layer nodes

  • Output layer activation

  • Learning rate

  • Mini-batch size

  • Initialization

  • Value of \(\beta \)

  • Values of \(\beta _1\)

  • Value of \(\beta _2\)

  • Value of \(\epsilon \)

  • Value of keep_prob

  • Value of \(\lambda \)

  • Model training time

Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.KolkataIndia

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