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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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fast, efficient, and accurate deep learning tasks. Hands-On Deep Learning for Images with TensorFlow shows you the practical implementations;
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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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Get started with TensorFlow fundamentals to build and train deep learning models with real-world data, practical exercises, and challenging;
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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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learning with Apache Spark Train neural networks with deep learning libraries such as BigDL and TensorFlow Develop Spark deep learning applications;
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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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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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is based on Dan's best-selling TensorFlow video course. With deep learning going mainstream, making sense of data and getting accurate results;
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, GANs, autoencoders, multilayer perceptrons and more. * Hands-on recipes to work with Tensorflow on desktop, mobile, and cloud environment;
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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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Explore machine learning concepts using the latest numerical computing library - TensorFlow - with the help of this comprehensive cookbook;
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This book introduces reinforcement learning with mathematical theory and practical examples from quantitative finance using the TensorFlow;
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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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hands-on approach to TensorFlow fundamentals for a broad technical audience-from data scientists and engineers to students and researchers. The;
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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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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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-on experience with linear regression techniques with TensorFlow. Once you are familiar and comfortable with the TensorFlow ecosystem, you;
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Use TensorFlow 2.x in the Google Colab ecosystem to create state-of-the-art deep learning models guided by hands-on examples. The Colab;
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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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2.x along with Colab's easy access to on-demand GPU hardware acceleration in the cloud for fast execution of deep learning models. This book;
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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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. They proceed with advanced concepts with hands-on sessions for deep learning. Engineers, scientists, researches looking for a practical;
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Work through engaging and practical deep learning projects using TensorFlow 2.0.;
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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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