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Deep Learning
Deep A Comprehensive Guide provides comprehensive coverage of Deep Learning (DL) and Machine Learning (ML) concepts. DL and ML are the most sought-after domains, requiring a deep understanding – and this book gives no less than that. This book enables the reader to build innovative and useful applications based on ML and DL. Starting with the basics of neural networks, and continuing through the architecture of various types of CNNs, RNNs, LSTM, and more till the end of the book, each and every topic is given the utmost care and shaped professionally and comprehensively. Key Features AI is a domain for everyone. This book is targeted toward everyone irrespective of their field of specialization. Graduates and researchers in deep learning will find this book useful.
306 pages, Hardcover
Published December 21, 2021
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Displaying 1 of 1 review
March 5, 2022
An Introduction work for beginners --
This Work, gives examples from tools.
The Author covers from, Tools to Architectures.
This is written for undergraduates.
List of Chapters, that you'd go through,
Machine Learning Fundamentals,
Deep Learning Framework,
Convolutional Neural Network,
Convolutional Neural Network Architectures,
Recurrent Neural Network,
Auto-Encoders,
Generative Models & Transfer Learning
Deus Vult,
Gottfreid
This Work, gives examples from tools.
The Author covers from, Tools to Architectures.
This is written for undergraduates.
List of Chapters, that you'd go through,
Machine Learning Fundamentals,
Deep Learning Framework,
Convolutional Neural Network,
Convolutional Neural Network Architectures,
Recurrent Neural Network,
Auto-Encoders,
Generative Models & Transfer Learning
Deus Vult,
Gottfreid
Displaying 1 of 1 review