Name: Deep Learning: A Comprehensive Guide (en Inglés)
Price: 75.98 USD
Availability: InStock
Author: Shriram K Vasudevan; Sini Raj Pulari; Subashri Vasudevan
ISBN: 9781032028859

portada Deep Learning: A Comprehensive Guide (en Inglés)

Deep Learning: A Comprehensive Guide (en Inglés)

Formato

Libro Físico

Editorial

Crc Pr Inc

Autor

Shriram K Vasudevan; Sini Raj Pulari; Subashri Vasudevan

Idioma

Inglés

N° páginas

290

Encuadernación

Tapa Blanda

ISBN13

9781032028859

N° edición

Deep Learning: A Comprehensive Guide (en Inglés)

Shriram K Vasudevan; Sini Raj Pulari; Subashri Vasudevan (Autor) · Crc Pr Inc · Tapa Blanda

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Reseña del libro "Deep Learning: A Comprehensive Guide (en Inglés)"

Deep Learning: 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 Includes the smooth transition from ML concepts to DL concepts Line-by-line explanations have been provided for all the coding-based examples Includes a lot of real-time examples and interview questions that will prepare the reader to take up a job in ML/DL right away Even a person with a non-computer-science background can benefit from this book by following the theory, examples, case studies, and code snippets Every chapter starts with the objective and ends with a set of quiz questions to test the reader's understanding Includes references to the related YouTube videos that provide additional guidance 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.