Machine Learning With Tensorflow 2


Machine Learning With Tensorflow 2
Author: Antonio Gulli
Publisher: Packt Publishing Ltd
ISBN: 1838827722
Size: 79.77 MB
Format: PDF, ePub
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Deep Learning With Tensorflow 2 And Keras

Machine Learning With Tensorflow 2 by Antonio Gulli, Deep Learning With Tensorflow 2 And Keras Books available in PDF, EPUB, Mobi Format. Download Deep Learning With Tensorflow 2 And Keras books, 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 Description Deep 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 for This 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.


Deep Learning with TensorFlow 2 and Keras
Language: en
Pages: 646
Authors: Antonio Gulli, Amita Kapoor, Sujit Pal
Categories: Computers
Type: BOOK - Published: 2019-12-27 - Publisher: Packt Publishing Ltd
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
Advanced Deep Learning with TensorFlow 2 and Keras
Language: en
Pages: 512
Authors: Rowel Atienza
Categories: Computers
Type: BOOK - Published: 2020-02-28 - Publisher: Packt Publishing Ltd
Updated and revised second edition of the bestselling guide to advanced deep learning with TensorFlow 2 and Keras Key Features Explore the most advanced deep learning techniques that drive modern AI results New coverage of unsupervised deep learning using mutual information, object detection, and semantic segmentation Completely updated for TensorFlow
Deep Learning with TensorFlow 2 and Keras - Second Edition
Language: en
Pages: 646
Authors: Antonio Gulli, Amita Kapoor, Sujit Pal
Categories: Computers
Type: BOOK - Published: 2019 - Publisher:
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
Advanced Deep Learning with TensorFlow 2 and Keras - Second Edition
Language: en
Pages: 512
Authors: Rowel Atienza
Categories: Computers
Type: BOOK - Published: 2020 - Publisher:
Updated and revised second edition of the bestselling guide to advanced deep learning with TensorFlow 2 and Keras Key Features Explore the most advanced deep learning techniques that drive modern AI results New coverage of unsupervised deep learning using mutual information, object detection, and semantic segmentation Completely updated for TensorFlow
Mastering Computer Vision with TensorFlow 2.x
Language: en
Pages: 430
Authors: Krishnendu Kar
Categories: Computers
Type: BOOK - Published: 2020-05-15 - Publisher: Packt Publishing Ltd
Apply neural network architectures to build state-of-the-art computer vision applications using the Python programming language Key Features Gain a fundamental understanding of advanced computer vision and neural network models in use today Cover tasks such as low-level vision, image classification, and object detection Develop deep learning models on cloud platforms
Machine Learning for Economics and Finance in Tensorflow 2: Deep Learning Models for Empirical Work
Language: en
Pages: 230
Authors: Isaiah Hull
Categories: Computers
Type: BOOK - Published: 2021-02-08 - Publisher: Apress
Work on economic problems and solutions with tools from machine learning. ML has taken time to move into the space of academic economics. This is because empirical work in economics is concentrated on the identification of causal relationships in parsimonious statistical models; whereas machine learning is oriented towards prediction and
Hands-On Computer Vision with TensorFlow 2
Language: en
Pages: 372
Authors: Benjamin Planche, Eliot Andres
Categories: Computers
Type: BOOK - Published: 2019-05-30 - Publisher: Packt Publishing Ltd
A practical guide to building high performance systems for object detection, segmentation, video processing, smartphone applications, and more. Key Features Discover how to build, train, and serve your own deep neural networks with TensorFlow 2 and Keras Apply modern solutions to a wide range of applications such as object detection
Python Machine Learning
Language: en
Pages: 770
Authors: Sebastian Raschka, Vahid Mirjalili
Categories: Computers
Type: BOOK - Published: 2019-12-12 - Publisher: Packt Publishing Ltd
Applied machine learning with a solid foundation in theory. Revised and expanded for TensorFlow 2, GANs, and reinforcement learning. Key Features Third edition of the bestselling, widely acclaimed Python machine learning book Clear and intuitive explanations take you deep into the theory and practice of Python machine learning Fully updated
TensorFlow 2 Pocket Primer
Language: en
Pages: 252
Authors: Oswald Campesato
Categories: Computers
Type: BOOK - Published: 2019-08-27 - Publisher: Stylus Publishing, LLC
As part of the best-selling Pocket Primer series, this book is designed to introduce beginners to basic machine learning algorithms using TensorFlow 2. It is intended to be a fast-paced introduction to various “core” features of TensorFlow, with code samples that cover machine learning and TensorFlow basics. A comprehensive appendix
TensorFlow 2.0 Quick Start Guide
Language: en
Pages: 196
Authors: Tony Holdroyd
Categories: Computers
Type: BOOK - Published: 2019-03-29 - Publisher: Packt Publishing Ltd
Perform supervised and unsupervised machine learning and learn advanced techniques such as training neural networks. Key Features Train your own models for effective prediction, using high-level Keras API Perform supervised and unsupervised machine learning and learn advanced techniques such as training neural networks Get acquainted with some new practices introduced