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

Book Specification

Binding Paperback
Language English
Number Of Pages 646
Author Antonio Gulli
Publisher Packt Publishing Limited
Isbn-10 1838823417
Isbn-13 9781838823412
Dimension 19.05*3.71*23.5

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

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

Build machine and deep learning Systems with the newly released TensorFlow 2 and Keras for the lab, production, and mobile devices Key Features Introduces and then uses TensorFlow 2 and Keras right from the start Teaches key machine and deep learning techniques Understand the fundamentals of deep learning and machine learning through clear explanations and extensive code samples Book DescriptionDeep Learning with TensorFlow 2 and Keras, Second Edition teaches neural networks and deep learning techniques alongside 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 is the machine learning library of choice for professional applications, while Keras offers a simple and powerful Python API for accessing TensorFlow. TensorFlow 2 provides full Keras integration, making advanced machine learning easier and more convenient than ever before. This book also introduces neural networks with TensorFlow, runs through the main applications (regression, ConvNets (CNNs), GANs, RNNs, NLP), covers two working example apps, and then dives into TF in production, TF mobile, and using TensorFlow with AutoML. What you will learn Build machine learning and deep learning Systems with TensorFlow 2 and the Keras API Use Regression analysis, the most popular approach to machine learning Understand ConvNets (convolutional neural networks) and how they are essential for deep learning Systems such as image classifiers Use GANs (generative adversarial networks) to create new data that fits with existing patterns Discover RNNs (recurrent neural networks) that can process sequences of input intelligently, using one part of a sequence to correctly interpret another Apply deep learning to natural human language and interpret natural language texts to produce an appropriate response Train your models on the cloud and put TF to work in real environments Explore how Google tools can automate simple ML workflows without the need for complex modeling Who this book is forThis book is for Python developers and data scientists who want to build machine learning and deep learning Systems with TensorFlow. Whether or not you have done machine learning before, this book gives you the Theory and practice required to use Keras, TensorFlow 2, and AutoML to build machine learning Systems.

Popular Tags: Neural Networks TensorFlow 2 and the Keras API AutoML Deep Learning Systems Powerful Python Other Topics

Store Price Buy Now
Amazon, Paperback Rs. 1987.0

Why you should read Deep Learning with TensorFlow 2 and Keras: Regression, ConvNets, GANs, RNNs, NLP, and more with TensorFlow 2 and the Keras API, 2nd Edition by Antonio Gulli

This book has been written by Antonio Gulli, who has written books like Deep Learning with TensorFlow 2 and Keras: Regression, ConvNets, GANs, RNNs, NLP, and more with TensorFlow 2 and the Keras API, 2nd Edition,TensorFlow 1.x Deep Learning Cookbook,Deep Learning with Keras,A Collection of Data Science Interview Questions Solved in Python and Spark: Hands-on Big Data and Machine Learning: Volume 6 (A Collection of Programming Interview Questions). The books are written in Computer Science category. This book is read by people who are interested in reading books in category : Computer Science. So, if you want to explore books similar to This book, you must read and buy this book.

Other books by same author

Book Binding Language
Deep Learning with TensorFlow 2 and Keras: Regression, ConvNets, GANs, RNNs, NLP, and more with TensorFlow 2 and the Keras API, 2nd Edition Paperback English
TensorFlow 1.x Deep Learning Cookbook Paperback English
Deep Learning with Keras Paperback English
A Collection of Data Science Interview Questions Solved in Python and Spark: Hands-on Big Data and Machine Learning: Volume 6 (A Collection of Programming Interview Questions) Paperback English

How long would it take for you to read Deep Learning with TensorFlow 2 and Keras: Regression, ConvNets, GANs, RNNs, NLP, and more with TensorFlow 2 and the Keras API, 2nd Edition

Depending on your reading style, this is how much time you would take to complete reading this book.

Reading Style Time To Finish The Book
Slow 129 hours
Average 64 hours
Good 43 hours
Excellent 21 hours
So if you are a Reader belonging in the Good category, and you read it daily for 1 hour, it will take you 43 days.
Note: A slow reader usually reads 100 words per minute, an average reader 200 words per minute, an average reader 300 words per minute and an excellent leader reads about 600-1000 words per minute, however the comprehension may vary.
This is the price history of this book:
Time Price
2020-02-25 21:17:35 +0530

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