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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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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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Beginning Deep Learning with TensorFlow

to TensorFlow 2 specifically. Find out what exactly a Tensor is and how to work with MNIST datasets. Finally, you'll get into the heavy;

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TensorFlow 2.0 Quick Start Guide

techniques such as training neural networks Get acquainted with some new practices introduced in TensorFlow 2.0 Alpha Book DescriptionTensorFlow;

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Tradition(s)

, 6 1/8 x 9 1/4 cloth 0-253-33328-8 $39.95 L / GBP30.50 paper 0-253-21152-2 $18.95 s / GBP14.50;

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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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What's New in TensorFlow 2.0

experts as well as beginners, and its new version, TensorFlow 2.0 (TF 2.0), improves its simplicity and ease of use. This book will help you;

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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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Learn TensorFlow 2.0

ways. What You'll Learn Review the new features of TensorFlow 2.0 Use TensorFlow 2.0 to build machine learning and deep learning models;

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Learn TensorFlow 2.0

. What You'll LearnReview the new features of TensorFlow 2.0 Use TensorFlow 2.0 to build machine learning and deep learning models Perform;

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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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Deep Learning Projects Using TensorFlow 2

creating music Restore and colorize black and white images with deep learning processes Who This Book Is For Beginners new to TensorFlow and;

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TensorFlow 2 x in the Colaboratory Cloud

Use TensorFlow 2.x with Google's Colaboratory (Colab) product that offers a free cloud service for Python programmers. Colab is especially;

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Great Western Railway Two Cylinder 4-6-0's and 2-6-0's

R. P. Bradley's findings on the GWR two cylinder 4-6-0s and 2-6-0s locomotive design and performance as presented with tables, diagrams and;

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Great Western Railway Two Cylinder 4-6-0's and 2-6-0's

R. P. Bradley's findings on the GWR two cylinder 4-6-0s and 2-6-0s locomotive design and performance as presented with tables, diagrams and;

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TensorFlow 2 Reinforcement Learning Cookbook

deep reinforcement learning agents from scratch using the all-new TensorFlow 2.x and Keras API Implement state-of-the-art deep reinforcement;

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Beginning Deep Learning with TensorFlow

TensorFlow 2 and Keras.;

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Pro Deep Learning with TensorFlow

required to invent new deep learning architectures and solutions on your own. Pro Deep Learning with TensorFlow provides practical, hands-on;

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Hands-On Computer Vision with TensorFlow 2

as health, automobile, social media, and robotics. This book will help you explore TensorFlow 2, the brand new version of Google's open;

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Understanding Earth

about the world and what it brings to our lives. Two new co-authors have introduced a wealth of recent data and applications to keep the science;

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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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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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Fiesers Reagents for Organic Synthesis, Volume 19

. Volume 2 1969 (0-471-25876-8) 538 pp. Volume 3 1972 (0-471-25879-2) 401 pp. Volume 4 1974 (0-471-25881-4) 660 pp. Volume 5 1975 (0-471-25882-2;

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Fiesers' Reagents For Organic Synthesis

21969(0-471-25876-8)538 pp.Volume 31972(0-471-25879-2)401 pp.Volume 41974(0-471-25881-4)660 pp.Volume 51975(0-471-25882-2)864 pp.Volume 61977(0;

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Machine Learning mit Python und Keras, TensorFlow 2 und Scikit-learn

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Fiesers Reagents for Organic Synthesis, Volume 23

. Volume 2 1969 (0-471-25876-8) 538 pp. Volume 3 1972 (0-471-25879-2) 401 pp. Volume 4 1974 (0-471-25881-4) 660 pp. Volume 5 1975 (0-471-25882-2;

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Hands-On Neural Networks with TensorFlow 2.0

TensorFlow (TF) 2.0, you'll explore a revamped framework structure, offering a wide variety of new features aimed at improving productivity and ease;

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