Posted On: Feb 22, 2018
The Tensor board is a tool provided by TensorFlow to help measure and visualize the needed dimensions during machine learning overflow. It enables tracking and analyzing the accuracy, projecting embedding to a lower-dimensional space, helping visualize the graph and much more. It is used for analysis and inspection of TensorFlow runs and graphs using a suite of web applications.
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Tensors can be thought of as vectors and matrices of higher dimensions. They represent n-dimensional arrays of base data-type. Each element of a tensor is of the same data-type which is always known. ...