Tensorflow Tutorial for Intermediates

by Randy Moore

TensorFlow is a powerful data flow oriented machine learning library created the Brain Team of Google and made open source in 2015. It is designed to be easy to use and widely applicable to both numeric and neural network oriented problems as well as other domains. Basically, TensoFlow is a low-level toolkit for doing complicated math and it targets researchers who know what they’re doing to build experimental learning architectures, to play around with them and to turn them into running software. Generally, it can think of as a programming system in which you represent computations as graphs. Nodes in the graph represent math operations, and the edges represent multidimensional data arrays (tensors) communicated between them. Table of Contents Chapter 1 TensorFlow Partial Differentiation Equation (PDE) Chapter 2 TensorFlow API Documentation Chapter 3 TensorFlow Visualization Tool Chapter 4 Wide and Deep learning With TensorFlow Chapter 5 TensorFlow MNIST Dataset .... Chapter 6 TensorFlow Image Recognition Chapter 7 TensorFlow Audio Recognition Chapter 8 TensorFlow Quiz-Part 1 . Chapter 9 TensorFlow Quiz-Part 2 Chapter 10 TensorFlow Quiz-Part 3

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Published January 16, 2020