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Tensorflow Tutorial for Intermediates
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 ContentsChapter 1 TensorFlow Partial Differentiation Equation (PDE)Chapter 2 TensorFlow API DocumentationChapter 3 TensorFlow Visualization ToolChapter 4 Wide and Deep learning With TensorFlowChapter 5 TensorFlow MNIST Dataset ....Chapter 6 TensorFlow Image RecognitionChapter 7 TensorFlow Audio RecognitionChapter 8 TensorFlow Quiz-Part 1 .Chapter 9 TensorFlow Quiz-Part 2Chapter 10 TensorFlow Quiz-Part 3
68 pages, Paperback
Published January 17, 2020
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