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

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

Packt Publishing
Price:
$39.99

Description

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.



Author: Koki Saitoh
Publisher: Packt Publishing
Published: 03/04/2021
Pages: 316
Binding Type: Paperback
Weight: 1.20lbs
Size: 9.25h x 7.50w x 0.66d
ISBN13: 9781800206137
ISBN10: 1800206135
BISAC Categories:
- Computers | Languages | Python
- Computers | Data Science | Neural Networks
- Computers | Artificial Intelligence | General

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