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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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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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Beginning Deep Learning with TensorFlow

TensorFlow 2 and Keras.;

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TensorFlow Deep Learning Projects

learning pipelines using the popular Tensorflow framework Train neural networks such as ConvNets, generative models, and LSTMs Includes projects;

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Beginning Deep Learning with TensorFlow

learning models using TensorFlow 2 Create classification systems and other, practical deep learning applications Who This Book Is For;

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Deep Learning with TensorFlow 2 and Keras

Build machine and deep learning systems with the newly released TensorFlow 2 and Keras for the lab, production, and mobile devices Key;

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Hands-On Deep Learning for Images with TensorFlow

Build an effective image classification system using the power of CNNs Leverage TensorFlow's capabilities to perform efficient deep learning;

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TensorFlow 2 Reinforcement Learning Cookbook

reinforcement learning agents to the cloud and build cross-platform apps using TensorFlow 2.x. By the end of this TensorFlow book, you'll have;

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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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Pro Deep Learning with TensorFlow

Deploy deep learning solutions in production with ease using TensorFlow. You'll also develop the mathematical understanding and intuition;

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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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Python Reinforcement Learning Projects

using TensorFlow for RL Use RL algorithms in Python and TensorFlow to solve CartPole balancing Create deep reinforcement learning algorithms to;

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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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Learn TensorFlow 2.0

TensorFlow 2.0 framework and the major changes from its last release. Next, it focuses on building Supervised Machine Learning models using;

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Building Machine Learning Pipelines Automating Model Life Cycles with Tensorflow

practical guide, Hannes Hapke and Catherine Nelson walk you through the steps of automating a machine learning pipeline using the TensorFlow;

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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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TensorFlow 2.0 Quick Start Guide

overview of what's new in TensorFlow 2.0 Alpha, the book moves on to setting up your machine learning environment using the TensorFlow library. You;

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R Deep Learning Projects

using MXNet Get the knack of CNN models, Neural Network API, Keras, and TensorFlow for traffic sign classification -Implement credit card fraud;

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R Deep Learning Essentials

Implement neural network models in R 3.5 using TensorFlow, Keras, and MXNet Key Features Use R 3.5 for building deep learning models for;

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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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Deep Learning with TensorFlow

TensorFlow guide About This Book * Learn how to implement advanced techniques in deep learning with Google's brainchild, TensorFlow * Explore;

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The Deep Learning Workshop

learning, machine learning, and artificial intelligence and helps you get comfortable with the TensorFlow 2.0 programming structure using hands-on;

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Advanced Deep Learning for Engineers and Scientists

effective implementation for scientists. They then present technical exposure towards deep learning using Keras, Tensorflow, Pytorch and Python;

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Machine Learning Using TensorFlow Cookbook

. With the help of this book, you will be proficient in using TensorFlow, understand deep learning from the basics, and be able to implement;

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The The TensorFlow Workshop

Get started with TensorFlow fundamentals to build and train deep learning models with real-world data, practical exercises, and challenging;

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Advanced Deep Learning with Keras

libraries. A new second edition, updated for 2020 and featuring TensorFlow 2 and coverage of unsupervised learning using mutual information, object;

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Hands-On Deep Learning with TensorFlow

. About This Book * Explore various possibilities with deep learning and gain amazing insights from data using Google's brainchild-- TensorFlow;

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