Read Anywhere and on Any Device!

Subscribe to Read | $0.00

Join today and start reading your favorite books for Free!

Create Free Account

Quick and Easy Sign Up!

It takes less then 1 minute to sign up, then you can enjoy Unlimited eBooks.

Sign Up Browse

Popular Genres

Read Anywhere and on Any Device!

  • Download on iOS
  • Download on Android
  • Download on iOS

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

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

Antonio Gulli
0/5 ( ratings)
Read Download
Build cutting edge machine and deep learning systems for the lab, production, and mobile devices Deep Learning with TensorFlow and Keras teaches you neural networks and deep learning techniques using TensorFlow 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 , transformers, generative adversarial networks , recurrent neural networks , natural language processing , and graph neural networks ), covers working example apps, and then dives into TF in production, TF mobile, and TensorFlow with AutoML. 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.
Format
Paperback
Release
October 06, 2022
ISBN 13
9781803232911

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

Antonio Gulli
0/5 ( ratings)
Read Download
Build cutting edge machine and deep learning systems for the lab, production, and mobile devices Deep Learning with TensorFlow and Keras teaches you neural networks and deep learning techniques using TensorFlow 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 , transformers, generative adversarial networks , recurrent neural networks , natural language processing , and graph neural networks ), covers working example apps, and then dives into TF in production, TF mobile, and TensorFlow with AutoML. 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.
Format
Paperback
Release
October 06, 2022
ISBN 13
9781803232911

More books from Antonio Gulli

Deep Learning with Keras: Implementing deep learning models and neural networks with the power of Python

3.9/5 ( ratings)

TensorFlow 1.x Deep Learning Cookbook: Over 90 unique recipes to solve artificial-intelligence driven problems with Python

3.7/5 ( ratings)

Deep Learning with TensorFlow 2 and Keras: Regression, ConvNets, GANs, RNNs, NLP, and more with TensorFlow 2 and the Keras API, 2nd Edition

4.5/5 ( ratings)

A collection of Data Science Interview Questions Solved in Python and Spark: BigData and Machine Learning in Python and Spark (A Collection of Programming Interview Questions Book 6)

4.2/5 ( ratings)

A collection of System Design Interview Questions

1.6/5 ( ratings)

A Collection of Bit Programming Interview Questions solved in C++

4/5 ( ratings)

Special Edition Data Science Interview Questions Solved in Python and Spark: with Deep Learning and Reinforcement Learning Bonus Questions (BigData and Machine Learning in Python and Spark)

5/5 ( ratings)

A Collection of Dynamic Programming Interview Questions Solved in C++

3/5 ( ratings)

A Collection of Design Pattern Interview Questions Solved in C++

1/5 ( ratings)

Rate this book!

Write a review?

loader