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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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TensorFlow Deep Learning Projects

Leverage the power of Tensorflow to design deep learning systems for a variety of real-world scenarios Key Features Build efficient deep;

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Beginning Deep Learning with TensorFlow

Incorporate deep learning into your development projects through hands-on coding and the latest versions of deep learning software, such as;

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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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Hands-On Deep Learning for Images with TensorFlow

fast, efficient, and accurate deep learning tasks. Hands-On Deep Learning for Images with TensorFlow shows you the practical implementations;

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Beginning Deep Learning with TensorFlow

material in this book and become a TensorFlow programmer! What You'll Learn Develop using deep learning algorithms Build deep;

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Python Reinforcement Learning Projects

and Markov models with Python and OpenAI Explore the power of TensorFlow to build self-learning models Eight AI projects to gain confidence;

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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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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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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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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

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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R Deep Learning Projects

5 real-world projects to help you master deep learning concepts Key Features Master the different deep learning paradigms and build real;

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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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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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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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Programming with TensorFlow

This practical book provides an end-to-end guide to TensorFlow, the leading open source software library that helps you build and train;

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Hands-On Deep Learning with TensorFlow

This book is your guide to exploring the possibilities in the field of deep learning, making use of Google's TensorFlow. You will learn;

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Tensorflow 2

(in Python) and figures. FEATURES: Provides an overview of the most important TensorFlow programming techniques used for machine learning, deep;

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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 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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Hands-On Convolutional Neural Networks with TensorFlow

Learn how to apply TensorFlow to a wide range of deep learning and Machine Learning problems with this practical guide on training CNNs for;

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TensorFlow for Deep Learning From Linear Regression to Reinforcement Learning

Learn how to solve challenging machine learning problems with TensorFlow, Google's revolutionary new software library for deep learning. If;

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The Deep Learning Workshop

Features Understand how to implement deep learning with TensorFlow and Keras Learn the fundamentals of computer vision and image recognition;

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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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Deep Learning mit TensorFlow, Keras und TensorFlow.js

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Mobile Deep Learning with TensorFlow Lite, ML Kit and Flutter

Learn how to deploy effective deep learning solutions on cross-platform applications built using TensorFlow Lite, ML Kit, and Flutter Key;

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