Applied deep learning with TensorFlow 2 : learn to implement advanced deep learning techniques with Python

Understand how neural networks work and learn how to implement them using TensorFlow 2.0 and Keras. This new edition focuses on the fundamental concepts and at the same time on practical aspects of implementing neural networks and deep learning for your research projects. This book is designed so th...

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Bibliographic Details
Main Author Michelucci, Umberto (Author)
Format Electronic eBook
LanguageEnglish
Published New York, NY : Apress, [2022]
Edition2nd ed.
SeriesITpro collection
Subjects
Python (Computer program language)
Machine learning.
Neural networks (Computer science)
elektronické knihy
electronic books
Online AccessFull text
ISBN9781484280201
1484280202
9781484280195
1484280199
Physical Description1 online resource (xxviii, 380 pages : illustrations)

Cover

Table of Contents:
  • Optimization and Neural Networks
  • Hands-on with a single neuron
  • Feed-Forward Neural Networks
  • Regularization
  • Advanced optimizers
  • Hyper-parameter tuning
  • Convolutional neural networks
  • A Brief Introduction to Recurrent Neural Networks
  • Autoencoders
  • Metric analysis
  • Generative Adversarial Networks (GANs)
  • Appendix A: Introduction to Keras
  • Appendix B: customizing Keras
  • Index.

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