Handbook of Deep Learning Models: Volume One: Fundamentals (1)

By: Ankur Dumka and Parag Verma and Anuj Bhardwaj and Er. Devarasetty Sankar and Vaibhav Chaudhari and Arnav Pandey

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Synopsis: This volume covers a comprehensive range of fundamental concepts in deep learning and artificial neural networks, making it suitable for beginners looking to learn the basics.Using Keras, a popular neural network API in Python, this book offers practical examples that reinforce the theoretical concepts discussed. Real-world case studies add relevance by showing how deep learning is applied across various domains. The book covers topics such as layers, activation functions, optimization algorithms, backpropagation, convolutional neural networks (CNNs), data augmentation, and transfer learning – providing a solid foundation for building effective neural network models.This book is a valuable resource for anyone interested in deep learning and artificial neural networks, offering both theoretical insights and practical implementation experience.

Book Quality:: Publisher Quality
Book Size:: 314 Pages
ISBN-13:: 9781040443910
Related ISBNs:: 9781003654216, 9781041102687, 9781040443880
Publisher:: CRC Press
Date of Addition:: 11/18/25
Copyrighted By:: Parag Verma, Er. Devarasetty Purna Sankar, Anuj Bhardwaj, Vaibhav Chaudhari, Arnav Pandey and Ankur Dumka, Reasonable efforts have been made to publish reliable data and information, but the author and publisher cannot assume responsibility for the validit
Adult content:: No
Language:: English
Has Image Descriptions:: No
Categories:: Nonfiction, Computers and Internet
Submitted By:: Bookshare Staff
Usage Restrictions:: This is a copyrighted book.