书目名称 | Learn TensorFlow 2.0 | 副标题 | Implement Machine Le | 编辑 | Pramod Singh,Avinash Manure | 视频video | | 概述 | Covers the transition from TensorFlow 1.0 to TensorFlow 2.0.Covers advanced techniques such as GANs and transfer learning.Covers deployment of TensorFlow 2.0 based machine learning and deep learning m | 图书封面 |  | 描述 | Learn how to use TensorFlow 2.0 to build machine learning and deep learning models with complete examples. .The book begins with introducing TensorFlow 2.0 framework and the major changes from its last release. Next, it focuses on building Supervised Machine Learning models using TensorFlow 2.0. It also demonstrates how to build models using customer estimators. Further, it explains how to use TensorFlow 2.0 API to build machine learning and deep learning models for image classification using the standard as well as custom parameters. .You‘ll review sequence predictions, saving, serving, deploying, and standardized datasets, and then deploy these models to production. All the code presented in the book will be available in the form of executable scripts at Github which allows you to try out the examples and extend them in interesting ways..What You‘ll Learn.Review the new features of TensorFlow 2.0.Use TensorFlow 2.0 to build machine learning and deep learning models .Perform sequence predictions using TensorFlow 2.0.Deploy TensorFlow 2.0 models with practical examples.Who This Book Is For.Data scientists, machine and deep learning engineers.. | 出版日期 | Book 2020 | 关键词 | Machine Learning; Deep Learning; TensorFlow 2; 0; Python; Supervised Learning; Neural Networks; Generative | 版次 | 1 | doi | https://doi.org/10.1007/978-1-4842-5558-2 | isbn_softcover | 978-1-4842-5560-5 | isbn_ebook | 978-1-4842-5558-2 | copyright | Pramod Singh, Avinash Manure 2020 |
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