Learn TensorFlow 2.0: Implement Machine Learning and Deep Learning Models with Python by Pramod Singh, Avinash Manure
English | January 5, 2020 | ISBN: 1484255607 | 180 pages | MOBI | 9.60 Mb
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 LearnReview the new features of TensorFlow 2.0Use TensorFlow 2.0 to build machine learning and deep learning modelsPerform sequence predictions using TensorFlow 2.0Deploy TensorFlow 2.0 models with practical examples
Who This Book Is For
Data scientists, machine and deep learning engineers.
Recommend Download Link Hight Speed | Please Say Thanks Keep Topic Live
Fikper
7k7c4.L.T.2.0.I.M.L.a.D.L.M.w.P.rar.html
Rapidgator
7k7c4.L.T.2.0.I.M.L.a.D.L.M.w.P.rar.html
Nitroflare
7k7c4.L.T.2.0.I.M.L.a.D.L.M.w.P.rar
Uploadgig
7k7c4.L.T.2.0.I.M.L.a.D.L.M.w.P.rar
Links are Interchangeable - No Password - Single Extraction