Posted On: Feb 22, 2018
An activation function is a function that is applied to the output of any neural layer and is then passed on to the next later as input which is known as an activation layer. It is a key part of the TensorFlow as it provides the non-linearity which is required to prevent the neural network from reducing to a mere logistic regression. The most popular activation function which is also widely used is the Rectification Linear Unit.
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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. ...