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TensorFlowSharp

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  • Update : 2018-04-10
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Introduction - If you have any usage issues, please Google them yourself
TensorFlow is one of the data flow diagram (data flow graphs), the open source software library for numerical calculation. A node (Nodes) represents a mathematical operation in a graph, and the line (edges) in the graph represents a multidimensional array of data that is interconnected among the nodes, that is, the tensor (tensor). Its flexible architecture allows you to carry out computing on a variety of platforms, such as one or more CPU (or GPU) in a desktop computer, a server, a mobile device, and so on. TensorFlow was originally developed by researchers and engineers from the Google brain group (belonging to the Google Machine Intelligence Research Institute) for machine learning and deep neural network research, but the versatility of the system can also be widely used in other computing fields.
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FilenameSizeUpdate
TensorFlowSharp 0 2018-03-30
TensorFlowSharp\.editorconfig 658 2018-03-30
TensorFlowSharp\.git 0 2018-03-30
TensorFlowSharp\.gitignore 437 2018-03-30
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