Posted On: Nov 26, 2019
The initialization of weights is done in a random manner as this is critical for learning good mapping based on input and output in neural networks. This is necessary as the search space involving the weights is a large one and since there are multiple low minimums, the back-propagation might be trapped.
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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. ...