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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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recurrent neural networks and Transformers, and see how they can be used to solve computer vision and natural language processing (NLP) problems;
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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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OpenCV 3 Computer Vision Application Programming Cookbook is appropriate for novice C++ programmers who want to learn how to use the OpenCV;
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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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DeeperCut within TensorFlow. By the end of this book, you will have the expertise required to build your own Computer Vision projects using Python;
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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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0;
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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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Explore machine learning concepts using the latest numerical computing library - TensorFlow - with the help of this comprehensive cookbook;
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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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Deep learning has transformed the fields of computer vision, image processing, and natural language applications. Thanks to TensorFlow.js;
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image classification, image recognition, object detection and many computer vision challenges. Key Features Learn the fundamentals;
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Work through engaging and practical deep learning projects using TensorFlow 2.0.;
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image generation techniques using TensorFlow 2.x. You'll also find this book useful if you are an image processing professional or computer;
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