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Explore machine learning concepts using the latest numerical computing library - TensorFlow - with the help of this comprehensive cookbook;
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TensorFlow on your computer Learn the fundamentals of statistical regression and neural networks Visualize the machine learning process with;
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-on experience with linear regression techniques with TensorFlow. Once you are familiar and comfortable with the TensorFlow ecosystem, you;
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fast, efficient, and accurate deep learning tasks. Hands-On Deep Learning for Images with TensorFlow shows you the practical implementations;
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Develop and deploy deep learning web apps using the TensorFlow.js library. TensorFlow. js is part of a bigger framework named TensorFlow;
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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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Orchestrate your machine learning pipeline with Apache Beam, Apache Airflow, and Kubeflow Pipelines Work with data using TensorFlow Data Validation;
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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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of use for developers. This book covers machine learning with a focus on developing neural network-based solutions. You'll start by getting;
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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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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 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 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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solutions with TensorFlow. It starts with an overview of machine learning concepts and moves on to the essentials needed to begin using;
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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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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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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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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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focus of this book is on basic programming instructions used in machine learning and deep learning. Includes companion files with source code;
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Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know;
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Tackle common commercial machine learning problems with Google's TensorFlow 1.x library and build deployable solutions. About This Book;
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Get started with TensorFlow fundamentals to build and train deep learning models with real-world data, practical exercises, and challenging;
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. 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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Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know;
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very high accuracy. This book is your guide to master deep learning with TensorFlow with the help of 10 real-world projects. TensorFlow Deep;
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(NLP), and sequence modeling for web, mobile, cloud, and embedded runtimes. Most books on machine learning begin with a daunting amount;
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Create, execute, modify, and share machine learning applications with Python and TensorFlow 2.0 in the Jupyter Notebook environment. This;
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