Description: Product Description : Deep Learning with TensorFlow 2 and Keras - Second Edition: Regression, ConvNets, GANs, RNNs, NLP, and more with TensorFlow 2 and the Keras API 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 Youll learn how to write deep learning applications in the most powerful popular and scalable machine learning stack availableTensorFlow 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 beforeThis 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 This book gives you the theory and practice required to use Keras TensorFlow 2 and AutoML to build machine learning systems Some knowledge of machine learning is expected Table of Contents Neural Network Foundations with TensorFlow 20 TensorFlow 1x and 2x Regression Convolutional Neural Networks Advanced Convolutional Neural Networks Generative Adversarial Networks Word Embeddings Recurrent Neural Networks Autoencoders Unsupervised Learning Reinforcement Learning TensorFlow and Cloud TensorFlow for Mobile and IoT and TensorFlowjs An introduction to AutoML The Math Behind Deep Learning Tensor Processing Unit( it is an used product )
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Restocking Fee: No
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 30 Days
Refund will be given as: Money Back
Brand: Packt Publishing
UPC: 9781838823412
MPN: Not Specified
Model No: Not Specified
Country of Origin: USA United States
Net Quantity/Number of Units: 1
Dimensions LxWxH - Cms: 9.25X7.52X1.33
ISBN-10: 1838823417
ISBN-13: 9781838823412
SKU: SONG1838823417
Edition: 2nd ed.
No. of Pages: 646
Book Title: Deep Learning with TensorFlow 2 and Keras - Second Edition: Regre
Item Height: 1.33
Item Weight: 2.45
Number of Pages: 646 Pages
Language: English
Publication Name: Deep Learning with TensorFlow 2 and Keras : Regression, ConvNets, GANs, RNNs, NLP, and More with TensorFlow 2 and the Keras API, 2nd Edition
Publisher: Packt Publishing, The Limited
Publication Year: 2019
Subject: Web / Web Services & APIs, Natural Language Processing, Neural Networks
Type: Textbook
Author: Amita Kapoor, Sujit Pal, Antonio Gulli
Subject Area: Computers
Item Length: 3.6 in
Item Width: 3 in
Format: Trade Paperback
