Machine Learning With Tensorflow


Machine Learning With Tensorflow
Author: Antonio Gulli
Publisher: Packt Publishing Ltd
ISBN: 1838827722
Size: 53.27 MB
Format: PDF, Kindle
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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.


Machine Learning with TensorFlow, Second Edition
Language: en
Pages: 456
Authors: Mattmann A. Chris
Categories: Computers
Type: BOOK - Published: 2021-02-02 - Publisher: Manning Publications
Updated with new code, new projects, and new chapters, Machine Learning with TensorFlow, Second Edition gives readers a solid foundation in machine-learning concepts and the TensorFlow library. Summary Updated with new code, new projects, and new chapters, Machine Learning with TensorFlow, Second Edition gives readers a solid foundation in machine-learning
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
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
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 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
Tensorflow Machine Learning
Language: en
Pages: 294
Authors: Benjamin Smith
Categories: Computers
Type: BOOK - Published: 2020-04-26 - Publisher:
Are you interested in learning machine learning and deep learning? TensorFlow is the single most popular library available today. Offering some of the very best graph computations, TensorFlow helps data scientists in designing neural networks using a cool feature called TensorBoard. It has support for both recurrent neural networks (RNNs)
Practical Machine Learning with TensorFlow 2.0 and Scikit-Learn
Language: en
Pages:
Authors: Samuel Holt
Categories: Computers
Type: BOOK - Published: 2020 - Publisher:
Get to grips with TensorFlow 2.0 and scikit-learn About This Video Embark on your ML journey using the best machine learning practices and the powerful features of TensorFlow 2.0 and scikit-learn Learn to work with unstructured data, images, and noisy text input, and implement the latest Natural Language Processing models
Machine Learning with Scikit-Learn and Tensorflow
Language: en
Pages:
Authors: Nick Locascio
Categories: Computers
Type: BOOK - Published: 2018 - Publisher:
"Machine Learning is one of the most transformative and impactful technologies of our time. From advertising to healthcare, to self-driving cars, it is hard to find an industry that has not been or is not being revolutionized by machine learning. Using the two most popular frameworks, Tensor Flow and Scikit-Learn,
Machine Learning with TensorFlow 1.x
Language: en
Pages: 304
Authors: Quan Hua, Shams Ul Azeem, Saif Ahmed
Categories: Computers
Type: BOOK - Published: 2017-11-21 - Publisher: Packt Publishing Ltd
Tackle common commercial machine learning problems with Google's TensorFlow 1.x library and build deployable solutions. About This Book Enter the new era of second-generation machine learning with Python with this practical and insightful guide Set up TensorFlow 1.x for actual industrial use, including high-performance setup aspects such as multi-GPU support
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