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
Автор: Soam Desai
Издательство: Amazon.com Services LLC
Год: 2021
Страниц: 126
Язык: английский
Формат: pdf, azw, epub
Размер: 10.7 MB
Introduction to TensorFlow Using Python provides an introduction to using TensorFlow with Python in easy bite sized pieces that any beginner or novice can understand. Filled with simple and straightforward working examples, the book aims to introduce the reader to the wonderful world of machine learning. Follow along for an adventure in coding and solving problems! This book is meant for the beginner who has some basic coding knowledge; however, if you don’t have any coding experience, you can still tag along and learn a thing or two. This book guides you through the entire process. The TensorFlow website defines TensorFlow as an “end-to-end open-source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML powered applications”. TensorFlow has been used by many professionals around the globe and is the most popular deep learning/machine learning library to date. The library is available in many different programming languages, but we are going to be using the Python library because we’re going to be using Python.