Pattanayak, Santanu

Pro Deep Learning with Tensorflow 2.0: A Mathematical Approach to Advanced Artificial Intelligence in Python

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ISBN 13:
9781484289303
author:
Pattanayak, Santanu
format:
Paperback
publisher:
Apress
language:
English
Publication Year:
2023
Pages:
652
Dimensions:
25.4 x 17.8 x 3.4 centimetres (1
Genre:
Computers, Programming, Python,
Condition:
New
Availability:
Item usually sent within 2 working days
£28.26

Description

Deep learning with TensorFlow 2.0 requires a solid understanding of mathematical foundations and technical concepts. This book provides an in-depth exploration of deep learning, starting with the core principles and progressing to advanced topics such as convolutional neural networks, natural language processing, and generative adversarial networks. You'll gain hands-on experience with the latest code implementations and learn how to deploy complex deep learning solutions using TensorFlow 2.0. The book covers essential concepts in detail, including unsupervised learning frameworks like autoencoders and variational autoencoders. By the end of this comprehensive guide, you'll be equipped to build new deep learning applications and understand the mathematical foundations that underpin advanced artificial intelligence. Suitable for data scientists, machine learning professionals, software developers, graduate students, and open source enthusiasts, this book is an invaluable resource for anyone looking to develop their skills in deep learning with TensorFlow 2.0.

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