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TensorFlow Machine Learning Cookbook

Explore machine learning concepts using the latest numerical computing library - TensorFlow - with the help of this comprehensive cookbook;

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Machine Learning Using TensorFlow Cookbook

learning library, TensorFlow. This cookbook covers the fundamentals of the TensorFlow library, including variables, matrices, and various data;

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TensorFlow Machine Learning Cookbook

Skip the theory and get the most out of Tensorflow to build production-ready machine learning models Key Features Exploit the features;

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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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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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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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TensorFlow 2.0 Quick Start Guide

TensorFlow features and will be able to perform supervised and unsupervised machine learning and also train neural networks. After giving you an;

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Machine Learning with TensorFlow

you get started creating machine learning applications? The answer is TensorFlow, a new open source machine learning library from;

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TensorFlow For Dummies

Become a machine learning pro! Google TensorFlow has become the darling of financial firms and research organizations, but the;

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Machine Learning with TensorFlow 1.x

Tackle common commercial machine learning problems with Google's TensorFlow 1.x library and build deployable solutions. About This Book;

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Machine Learning with TensorFlow

This fully revised second edition of Machine Learning with TensorFlow teaches you the foundational concepts of machine learning and how to;

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Hands-On Neural Networks with TensorFlow 2.0

learning and discover the power of neural networks and deep learning Explore the structure of the TensorFlow framework and understand how to;

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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 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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Machine Learning Concepts with Python and the Jupyter Notebook Environment

Create, execute, modify, and share machine learning applications with Python and TensorFlow 2.0 in the Jupyter Notebook environment. This;

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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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Machine Learning with Scikit-Learn and 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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Learn TensorFlow Enterprise

Use TensorFlow Enterprise with other GCP services to improve the speed and efficiency of machine learning pipelines for reliable and stable;

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

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Machine Learning for Economics and Finance in TensorFlow 2

methods in economics and machine learning, including regression analysis, natural language processing, and dimensionality reduction. TensorFlow;

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Python 3 for Machine Learning

related to machine learning Includes separate appendices for regular expressions, Keras, and TensorFlow 2;

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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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Machine Learning Using R

TensorFlow, thus avoiding the effort of learning Python if you are only comfortable with R. As in the first edition, the authors have kept the fine;

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Python Machine Learning

Applied machine learning with a solid foundation in theory. Revised and expanded for TensorFlow 2, GANs, and reinforcement learning;

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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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