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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_5

5. Defining Data

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

Now that you have a basic introduction to the world of artificial intelligence, machine learning in general, and the world of deep learning in particular, you should understand how this field is very important.

After the Introduction Part, we must define some concepts that are necessary to understand to be a data scientist—or, to be specific, a deep learning engineer. In Part II we take you from data novice to a data analyst or data engineer. All the chapters in this part will be about data. For instance, this chapter defines the data and its basic concepts; ...

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ISBN: 9781484253496Purchase LinkPublisher Website