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Deep Learning with TensorFlow 2 and Keras

2 and Keras, Second Edition teaches neural networks and deep learning techniques alongside TensorFlow (TF) and Keras. You'll learn how to;

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TensorFlow 2 x in the Colaboratory Cloud

well suited as a platform for TensorFlow 2.x deep learning applications. You will learn Colab's default install of the most current TensorFlow;

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TensorFlow 2.0 Quick Start Guide

of machine learning and neural network TensorFlow techniques. What you will learn Use tf.Keras for fast prototyping, building, and training deep;

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Learn TensorFlow 2.0

Learn how to use TensorFlow 2.0 to build machine learning and deep learning models with complete examples. The book begins with;

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Deep Learning Projects Using TensorFlow 2

Work through engaging and practical deep learning projects using TensorFlow 2.0.;

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Generative AI with Python and TensorFlow 2

Fun and exciting projects to learn what artificial minds can create Key Features Code examples are in TensorFlow 2, which make it;

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Beginning Deep Learning with TensorFlow

TensorFlow 2 and Keras. The materials used in this book are based on years of successful online education experience and feedback from thousands;

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Tensorflow 2

As part of the best-selling Pocket Primer series, this book provides an overview of the major concepts to program using TensorFlow 2. The;

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Learn TensorFlow 2.0

Learn how to use TensorFlow 2.0 to build machine learning and deep learning models with complete examples. The book begins with introducing;

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Hands-On Image Generation with TensorFlow

Implement various state-of-the-art architectures, such as GANs and autoencoders, for image generation using TensorFlow 2.x from scratch;

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Artificial Neural Networks with TensorFlow 2

capabilities of TensorFlow 2 through the use of realistic, scenario-based projects. After learning what's new in TensorFlow 2, you'll dive right into;

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Building Machine Learning Pipelines Automating Model Life Cycles with Tensorflow

Deploy models with TensorFlow Serving or TensorFlow Lite for mobile devices Learn privacy-preserving machine learning techniques;

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TensorFlow Machine Learning Cookbook

About This Book * Your quick guide to implementing TensorFlow in your day-to-day machine learning activities * Learn advanced techniques;

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Beginning Deep Learning with TensorFlow

TensorFlow 2 and Keras.;

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Deep Learning Projects Using TensorFlow 2

Work through engaging and practical deep learning projects using TensorFlow 2.0. Using a hands-on approach, the projects in this book will;

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Learn TensorFlow Enterprise

. The book begins by showing you how to refine your TensorFlow project and set it up for enterprise-level deployment. You'll then learn how to;

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TensorFlow Deep Learning Projects

Learning Projects starts with setting up the right TensorFlow environment for deep learning. Learn to train different types of deep learning models;

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TensorFlow 2 Pocket Reference

This easy-to-use reference for TensorFlow 2 design patterns in Python will help you make informed decisions for various use cases. Author;

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TensorFlow 2 Reinforcement Learning Cookbook

computer vision or perception to perform actions. TensorFlow 2.x is the latest major release of the most popular deep learning framework used to;

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TensorFlow

Learn how to solve real life problems using different methods like logic regression, random forests and SVM's with TensorFlow. Key Features;

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State-of-the-Art Deep Learning Models in TensorFlow

Use TensorFlow 2.x in the Google Colab ecosystem to create state-of-the-art deep learning models guided by hands-on examples. The Colab;

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Machine Learning with TensorFlow 1.x

application for increased accessibility * Learn how to use multiple GPUs for faster training using AWS In Detail Google's TensorFlow is a game;

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TensorFlow 1.x Deep Learning Cookbook

quite useful. What You Will Learn * Install TensorFlow and use it for CPU and GPU operations * Implement DNNs and apply them to solve;

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Pro Deep Learning with TensorFlow

the community. What You'll Learn Understand full stack deep learning using TensorFlow and gain a solid mathematical foundation for deep;

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Einde inhoud

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