Name: Deep Learning from the Basics: Python and Deep Learning: Theory and Implementation
Price: 47.01 EUR
Availability: InStock
Author: Saitoh, Koki
ISBN: 9781800206137

portada Deep Learning from the Basics: Python and Deep Learning: Theory and Implementation

Deep Learning from the Basics: Python and Deep Learning: Theory and Implementation

Type

Physical Book

Author

Koki Saitoh

Publisher

Packt Publishing

Language

English

Pages

316

Format

Paperback

Dimensions

23.5 x 19.1 x 1.7 cm

Weight

0.54 kg.

ISBN13

9781800206137

Synopsis "Deep Learning from the Basics: Python and Deep Learning: Theory and Implementation"

Deep learning is rapidly becoming the most preferred way of solving data problems. This is thanks, in part, to its huge variety of mathematical algorithms and their ability to find patterns that are otherwise invisible to us.Deep Learning from the Basics begins with a fast-paced introduction to deep learning with Python, its definition, characteristics, and applications. You'll learn how to use the Python interpreter and the script files in your applications, and utilize NumPy and Matplotlib in your deep learning models. As you progress through the book, you'll discover backpropagation-an efficient way to calculate the gradients of weight parameters-and study multilayer perceptrons and their limitations, before, finally, implementing a three-layer neural network and calculating multidimensional arrays.By the end of the book, you'll have the knowledge to apply the relevant technologies in deep learning.

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Deep Learning from the Basics: Python and Deep Learning: Theory and Implementation - Saitoh, Koki

Synopsis "Deep Learning from the Basics: Python and Deep Learning: Theory and Implementation"

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