Machine Learning With Tensorflow


Machine Learning With Tensorflow
Author: Antonio Gulli
Publisher: Packt Publishing Ltd
ISBN: 1838827722
Size: 23.87 MB
Format: PDF
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Deep Learning With Tensorflow 2 And Keras

Machine Learning With Tensorflow 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
Mobile Deep Learning with TensorFlow Lite, ML Kit and Flutter
Language: en
Pages: 380
Authors: Anubhav Singh, Rimjhim Bhadani
Categories: Computers
Type: BOOK - Published: 2020-04-06 - Publisher: Packt Publishing Ltd
Learn how to deploy effective deep learning solutions on cross-platform applications built using TensorFlow Lite, ML Kit, and Flutter Key Features Work through projects covering mobile vision, style transfer, speech processing, and multimedia processing Cover interesting deep learning solutions for mobile Build your confidence in training models, performance tuning, memory
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
Hands-On Machine Learning with TensorFlow.js
Language: en
Pages: 296
Authors: Kai Sasaki
Categories: Computers
Type: BOOK - Published: 2019-11-27 - Publisher: Packt Publishing Ltd
Get hands-on with the browser-based JavaScript library for training and deploying machine learning models effectively Key Features Build, train and run machine learning models in the browser using TensorFlow.js Create smart web applications from scratch with the help of useful examples Use flexible and intuitive APIs from TensorFlow.js to understand
Machine Learning With Tensorflow
Language: en
Pages: 128
Authors: Frank Millstein
Categories: Computers
Type: BOOK - Published: 2020-07-03 - Publisher: Frank Millstein
Machine Learning with TensorFlow TensorFlow is a powerful open source software library for performing various numerical data flow graphs. With its powerful resources, TensorFlow is perfect for machine learning enthusiasts offering plenty of workspace where you can improve your machine learning techniques and build your own machine learning algorithms. Thanks
Learn TensorFlow 2.0
Language: en
Pages: 164
Authors: Pramod Singh, Avinash Manure
Categories: Computers
Type: BOOK - Published: 2019-12-17 - Publisher: Apress
Learn how to use TensorFlow 2.0 to build machine learning and deep learning models with complete examples. The book begins with introducing TensorFlow 2.0 framework and the major changes from its last release. Next, it focuses on building Supervised Machine Learning models using TensorFlow 2.0. It also demonstrates how to
Deep Learning with JavaScript
Language: en
Pages: 350
Authors: Shanqing Cai, Stan Bileschi, Eric Nielsen
Categories: Computers
Type: BOOK - Published: 2019-10-07 - Publisher: Manning Publications
Deep learning has transformed the fields of computer vision, image processing, and natural language applications. Thanks to TensorFlow.js, now JavaScript developers can build deep learning apps without relying on Python or R. Deep Learning with JavaScript shows developers how they can bring DL technology to the web. Written by the
Programming With Python
Language: en
Pages: 517
Authors: Frank Millstein
Categories: Computers
Type: BOOK - Published: 2020-09-05 - Publisher: Frank Millstein
Programming With Python - 4 BOOK BUNDLE!! Deep Learning with Keras Here Is a Preview of What You’ll Learn Here… The difference between deep learning and machine learning Deep neural networks Convolutional neural networks Building deep learning models with Keras Multi-layer perceptron network models Activation functions Handwritten recognition using MNIST
Deep Learning with Swift for TensorFlow
Language: en
Pages: 470
Authors: Rahul Bhalley
Categories: Computers
Type: BOOK - Published: 2021-04-14 - Publisher: Apress
Discover more insight about deep learning and how to work with Swift for TensorFlow to develop intelligent apps. TensorFlow was designed for easy adoption by iOS programmers working in Swift. This book covers the established and tested concepts and ties them to modern Swift programming and applicable use in developing
TinyML
Language: en
Pages: 504
Authors: Pete Warden, Daniel Situnayake
Categories: Computers
Type: BOOK - Published: 2019-12-16 - Publisher: "O'Reilly Media, Inc."
Deep learning networks are getting smaller. Much smaller. The Google Assistant team can detect words with a model just 14 kilobytes in size—small enough to run on a microcontroller. With this practical book you’ll enter the field of TinyML, where deep learning and embedded systems combine to make astounding things