Posted On: Feb 13, 2020
Bias variables are used by artificial neural networks to better match functions with a y-intercept other than zero. The advantage is that there is no need to train the bias variables for a certain set of common problems.
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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. ...