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Deep Learning with TensorFlow and Keras – 3rd edition
Deep Learning with TensorFlow and Keras – 3rd edition

Deep Learning with TensorFlow and Keras – 3rd edition: Build and deploy supervised, unsupervised, deep, and reinforcement learning models , Third Edition

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Profile Icon Dr. Amita Kapoor Profile Icon Antonio Gulli Profile Icon Sujit Pal
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$35.99 $39.99
eBook Oct 2022 698 pages 3rd Edition
eBook
$35.99 $39.99
Subscription
Free Trial
Renews at $19.99p/m
Arrow left icon
Profile Icon Dr. Amita Kapoor Profile Icon Antonio Gulli Profile Icon Sujit Pal
Arrow right icon
$35.99 $39.99
eBook Oct 2022 698 pages 3rd Edition
eBook
$35.99 $39.99
Subscription
Free Trial
Renews at $19.99p/m
eBook
$35.99 $39.99
Subscription
Free Trial
Renews at $19.99p/m

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Key benefits

  • Understand the fundamentals of deep learning and machine learning through clear explanations and extensive code samples
  • Implement graph neural networks, transformers using Hugging Face and TensorFlow Hub, and joint and contrastive learning
  • Learn cutting-edge machine and deep learning techniques

Description

Deep Learning with TensorFlow and Keras teaches you neural networks and deep learning techniques using TensorFlow (TF) and Keras. You'll learn how to write deep learning applications in the most powerful, popular, and scalable machine learning stack available. TensorFlow 2.x focuses on simplicity and ease of use, with updates like eager execution, intuitive higher-level APIs based on Keras, and flexible model building on any platform. This book uses the latest TF 2.0 features and libraries to present an overview of supervised and unsupervised machine learning models and provides a comprehensive analysis of deep learning and reinforcement learning models using practical examples for the cloud, mobile, and large production environments. This book also shows you how to create neural networks with TensorFlow, runs through popular algorithms (regression, convolutional neural networks (CNNs), transformers, generative adversarial networks (GANs), recurrent neural networks (RNNs), natural language processing (NLP), and graph neural networks (GNNs)), covers working example apps, and then dives into TF in production, TF mobile, and TensorFlow with AutoML.

Who is this book for?

This hands-on machine learning book is for Python developers and data scientists who want to build machine learning and deep learning systems with TensorFlow. This book gives you the theory and practice required to use Keras, TensorFlow, and AutoML to build machine learning systems. Some machine learning knowledge would be useful. We don’t assume TF knowledge.

What you will learn

  • Learn how to use the popular GNNs with TensorFlow to carry out graph mining tasks
  • Discover the world of transformers, from pretraining to fine-tuning to evaluating them
  • Apply self-supervised learning to natural language processing, computer vision, and audio signal processing
  • Combine probabilistic and deep learning models using TensorFlow Probability
  • Train your models on the cloud and put TF to work in real environments
  • Build machine learning and deep learning systems with TensorFlow 2.x and the Keras API

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Oct 06, 2022
Length: 698 pages
Edition : 3rd
Language : English
ISBN-13 : 9781803245713
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Product Details

Publication date : Oct 06, 2022
Length: 698 pages
Edition : 3rd
Language : English
ISBN-13 : 9781803245713
Category :
Concepts :

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