Google’s Tensor Flow is a game changer in the world of machine learning. It has made machine learning faster, simpler, and more accessible than ever before. This book will teach you how to easily get started with machine learning using the power of Python and Tensor Flow 1.x.
Firstly, you’ll cover the basic installation procedure and explore the capabilities of Tensor Flow 1.x. This is followed by training and running the first classifier, and coverage of the unique features of the library including data ?ow graphs, training, and the visualization of performance with Tensor Board—all within an example-rich context using problems from multiple industries. You’ll be able to further explore text and image analysis, and be introduced to CNN models and their setup in Tensor Flow 1.x. Next, you’ll implement a complete real-life production system from training to serving a deep learning model. As you advance you’ll learn about Amazon Web Services (AWS) and create a deep neural network to solve a video action recognition problem. Lastly, you’ll convert the Caffe model to Tensor Flow and be introduced to the high-level Tensor Flow library, Tensor Flow-Slim.
By the end of this book, you will be geared up to take on any challenges of implementing Tensor Flow 1.x in your machine learning environment.
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