Building Machine Learning Projects with TensorFlow Table of Contents Building Machine Learning Projects with TensorFlow Credits About the Author About the Reviewer www.PacktPub.com Why subscribe? Preface What this book covers What you need for this book Who this book is for Conventions Reader feedback Customer support Downloading the example code Errata Piracy Questions 1. Exploring and Transforming Data TensorFlow's main data structure - tensors Tensor properties - ranks, shapes, and types Tensor rank Tensor shape Tensor data types Creating new tensors From numpy to tensors and vice versa Useful method Getting things done - interacting with TensorFlow Handling the computing workflow - TensorFlow's data flow graph Computation graph building Useful operation object methods Feeding Variables Variable initialization Saving data flow graphs Graph serialization language - protocol buffers Useful methods Example graph building Running our programs
