Deep Learning with TensorFlow and Keras - Third Edition: Build and deploy supervised, unsupervised, deep, and reinforcement learning models

Build cutting edge machine and deep learning systems for the lab, production, and mobile devicesKey Features: Understand...
$158.89 SGD
$158.89 SGD
SKU: 9781803232911
Product Type: Books
Please hurry! Only 444 left in stock
Author: Amita Kapoor
Format: Paperback
Language: English
Subtotal: $158.89
10 customers are viewing this product
Deep Learning with TensorFlow and Keras - Third Edition: Build and deploy supervised, unsupervised, deep, and reinforcement learning models by Kapoor, Amita

Deep Learning with TensorFlow and Keras - Third Edition: Build and deploy supervised, unsupervised, deep, and reinforcement learning models

$158.89

Deep Learning with TensorFlow and Keras - Third Edition: Build and deploy supervised, unsupervised, deep, and reinforcement learning models

$158.89
Author: Amita Kapoor
Format: Paperback
Language: English

Build cutting edge machine and deep learning systems for the lab, production, and mobile devices


Key Features:

  • 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


Book 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, 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.


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


Who this book is 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.



Author: Amita Kapoor, Antonio Gulli, Sujit Pal
Publisher: Packt Publishing
Published: 10/06/2022
Pages: 698
Binding Type: Paperback
Weight: 2.60lbs
Size: 9.25h x 7.50w x 1.40d
ISBN: 9781803232911

This title is not returnable

Returns Policy

You may return most new, unopened items within 30 days of delivery for a full refund. We'll also pay the return shipping costs if the return is a result of our error (you received an incorrect or defective item, etc.).

You should expect to receive your refund within four weeks of giving your package to the return shipper, however, in many cases you will receive a refund more quickly. This time period includes the transit time for us to receive your return from the shipper (5 to 10 business days), the time it takes us to process your return once we receive it (3 to 5 business days), and the time it takes your bank to process our refund request (5 to 10 business days).

If you need to return an item, simply login to your account, view the order using the "Complete Orders" link under the My Account menu and click the Return Item(s) button. We'll notify you via e-mail of your refund once we've received and processed the returned item.

Shipping

We can ship to virtually any address in the world. Note that there are restrictions on some products, and some products cannot be shipped to international destinations.

When you place an order, we will estimate shipping and delivery dates for you based on the availability of your items and the shipping options you choose. Depending on the shipping provider you choose, shipping date estimates may appear on the shipping quotes page.

Please also note that the shipping rates for many items we sell are weight-based. The weight of any such item can be found on its detail page. To reflect the policies of the shipping companies we use, all weights will be rounded up to the next full pound.

Related Products

Recently Viewed Products