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Deep Learning Pipeline: Building a Deep Learning Model with TensorFlow
book

Deep Learning Pipeline: Building a Deep Learning Model with TensorFlow

by Hisham El-Amir, Mahmoud Hamdy
December 2019
Intermediate to advanced
563 pages
10h 34m
English
Apress
Content preview from Deep Learning Pipeline: Building a Deep Learning Model with TensorFlow
© Hisham El-Amir and Mahmoud Hamdy 2020
H. El-Amir, M. HamdyDeep Learning Pipelinehttps://doi.org/10.1007/978-1-4842-5349-6_3

3. A Tour Through the Deep Learning Pipeline

Hisham El-Amir1  and Mahmoud Hamdy1
(1)
Jizah, Egypt
 

In Chapter 1, we saw an introduction to the deep learning field, to the theories that are the basis of the field. We also discussed the evolution of deep learning and the needed mathematical notation to succeed while reading the book, and we showed you how to install the environment needed for the projects in this book.

In this chapter, we will start with the “flavors” of deep learning, the approaches of it, and different types of neural networks. Next, we will introduce the big picture of the deep learning pipeline; we also will ...

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Publisher Resources

ISBN: 9781484253496Purchase LinkPublisher Website