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Chapman and Hall/CRC Handbook of Deep Learning Models Vol 1

Amazon

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Description

Start your journey into artificial intelligence with the Handbook of Deep Learning Models: Volume One: Fundamentals. Published by Chapman and Hall/CRC, this book provides a comprehensive guide to the core concepts of deep learning and artificial neural networks. Designed specifically for beginners, the text bridges the gap between theory and practice by using Keras, a popular Python neural network API. Readers will explore essential topics including layers, activation functions, optimization algorithms, and backpropagation. The content also covers advanced foundational elements like convolutional neural networks (CNNs), data augmentation, and transfer learning. Through real-world case studies, you will see how these deep learning principles are applied across various domains, making the complex subject matter accessible and relevant for practical use.

Key Features

This volume by Chapman and Hall/CRC covers fundamental concepts in deep learning and artificial neural networks for beginners.

Practical examples using the Keras Python API help reinforce the theoretical concepts discussed throughout the book.

Real-world case studies demonstrate how deep learning is applied across various domains to add practical relevance.

The curriculum includes essential topics such as layers, activation functions, optimization algorithms, and backpropagation.

Advanced foundational topics like convolutional neural networks (CNNs), data augmentation, and transfer learning are included.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
17 November 2025
Listed Since
28 May 2025

Barcode

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