TensorFlow 2.0 Computer Vision Cookbook PDF

TensorFlow 2.0 Computer Vision Cookbook PDF
TensorFlow 2.0 Computer Vision Cookbook PDF Github
eBook: TensorFlow 2.0 Computer Vision Cookbook PDF : Implement Machine Learning Solutions to Overcome Various Computer Vision Challenges Book by Jesus Martinez

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The book begins by taking you through the basics of deep learning for computer vision, along with covering TensorFlow 2.x's key features, such as the Keras and tf.data.Dataset APIs. You'll then learn about the ins and outs of common computer vision tasks, such as image classification, transfer learning, image enhancing and styling, and object detection. The book also covers autoencoders in domains such as inverse image search indexes and image denoising, while offering insights into various architectures used in the recipes, such as convolutional neural networks (CNNs), region-based CNNs (R-CNNs), VGGNet, and You Only Look Once (YOLO). 

By the end of this TensorFlow book, you'll be able to confidently tackle a wide range of computer vision problems using TensorFlow 2.x. TensorFlow 2.0 Computer Vision Cookbook pdf github is curated from github and other premium computer books downloading websites. So, what are you waiting for? Download free pdf from the below given link.

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Machine Learning Ebooks
August 31, 2021
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