Learn Tensorflow 2.0: Implement Machine Learning and Deep Learning Models with Python Singh PramodPaperback
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...
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
Chybí či je nepravdivý některý důležitý parametr? Uvedené informace jsou pouze orientační, před zakoupením ve vybraném obchodě doporučujeme ověřit, že prodávaný model má klíčové vlastnosti dle vašich požadavků. I když se snažíme o maximální přesnost informací, bohužel nemůžeme zaručit jejich 100% správnost. Ceny produktů jsou uváděny včetně DPH.
