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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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TensorFlow 2.x Discover practical recipes to overcome various challenges faced while building computer vision models Enable machines to gain a;
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videos. This book focuses on using TensorFlow to help you learn advanced computer vision tasks such as image acquisition, processing, and;
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TensorFlow 2 and Keras.;
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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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TensorFlow using skills that employers desire The basics of machine learning by working with code samples How to implement computer vision;
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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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of Tensorflow to build and deploy machine learning models Train neural networks to tackle real-world problems in Computer Vision and NLP Handy;
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Features Understand how to implement deep learning with TensorFlow and Keras Learn the fundamentals of computer vision and image recognition;
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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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something that people in the real world can use. Train, tune, and deploy computer vision models with Keras, TensorFlow, CoreML, and TensorFlow Lite;
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detection, image segmentation, and other Computer Vision tasks Crisp content with a practical approach to solving real-world problems in Computer;
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kinds of deep learning model from scratch to solve specific problems in Computer Vision Combine the power of Python, Keras, and TensorFlow to;
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TensorFlow 2 and Keras. The materials used in this book are based on years of successful online education experience and feedback from thousands;
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cases and in-depth instruction for deep learning apps in JavaScript in your browser or on Node. Deploying computer vision, audio, and;
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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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Python libraries. The authors demonstrate TensorFlow projects on Single Board Computers (SBCs).;
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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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, GANs, autoencoders, multilayer perceptrons and more. * Hands-on recipes to work with Tensorflow on desktop, mobile, and cloud environment;
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computing and augmented reality. Key Features Develop your computer vision skills by mastering algorithms in Open Source Computer Vision 4 (OpenCV 4;
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Deploy deep learning applications into production across multiple platforms. You will work on computer vision applications that use the;
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learning, linear and logical regression, etc. Covers TensorFlow 2 and previous versions that run with TF2. Includes companion files with source;
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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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Get started with TensorFlow fundamentals to build and train deep learning models with real-world data, practical exercises, and challenging;
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computer vision or perception to perform actions. TensorFlow 2.x is the latest major release of the most popular deep learning framework used to;
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related to Computer Vision, stock prediction, chatbots and more Book DescriptionTensorFlow is one of the most popular frameworks used for machine;
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make decisions based on that data. Computer vision is everywhere-in security systems, manufacturing inspection systems, medical image analysis;
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