Аннотация
This TensorFlow book introduces the framework and the underlying machine learning concepts that are important to harness machine intelligence.
After reading this book, you should know the following:
A deep understanding of the core TensorFlow API The TensorFlow workflow: graph definition and graph execution How to install TensorFlow on various devices Best practices for structuring your code and project How to create core machine learning models in TensorFlow How to implement RNNs and CNNs in TensorFlow How to deploy code with TensorFlow Serving The fundamentals of utilizing TensorBoard to analyze your models
![Python 3 и PyQt 5 [Разработка приложений]](https://www.rulit.me/data/programs/images/python-3-i-pyqt-5-razrabotka-prilozhenij_526357.jpg "Описан язык Python 3: типы данных, операторы, условия, циклы, регулярные выражения, функции, инструменты объектно-ориентированного программирования, работа с файлами...")
Комментарии к книге "TensorFlow for Machine Intelligence"