Posted On: Feb 22, 2018
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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TensorFlow is a platform where one can learn machine learning / deep learning/multilayer neural networks from the Google library. Libraries that use data science are helpful to describe complex networ...
Below are major features of TensorFlow:TensorFlow has the biggest ability is to build neural networks using which machines can develop logical thinking and learning analogous to humans. It is one...
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. ...