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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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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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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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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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. Next, you'll jump into simple classification programs for hand-writing analysis. Once you've tackled the basics of deep learning, you move on;
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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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deep learning models for real-world datasets Build your experience and confidence with hands-on exercises and activities Book;
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Learn how to solve challenging machine learning problems with TensorFlow, Google's revolutionary new software library for deep learning. If;
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efficient deep learning models, Hands-On Deep Learning with Apache Spark is for you. Knowledge of the core machine learning concepts and some;
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Generate high-resolution photos with Progressive GAN and StyleGAN Who this book is forThe Hands-On Image Generation with TensorFlow book is 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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Learning Projects starts with setting up the right TensorFlow environment for deep learning. Learn to train different types of deep learning models;
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. Hands-On Computer Vision with TensorFlow 2 starts with the fundamentals of computer vision and deep learning, teaching you how to build a neural;
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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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on TensorFlow Who This Book Is For This book is ideal for data scientists who are familiar with C++ or Python and perform machine;
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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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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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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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-on experience with linear regression techniques with TensorFlow. Once you are familiar and comfortable with the TensorFlow ecosystem, you;
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finishing the book, you will be familiar with machine learning techniques, in particular the use of TensorFlow for deep learning, and will be ready;
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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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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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vision tasks using TensorFlow. The book begins by taking you through the basics of deep learning for computer vision, along with covering;
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