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a new area of Machine Learning research concerned with the technologies used for learning hierarchical representations of data, mainly done with deep neural networks (i.e. networks with two or more hidden layers), but also with some sort of Probabilistic Graphical Models.
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Why is ReLU used as an activation function?
Activation functions are used to introduce non-linearities in the linear output of the type w * x + b in a neural network.
Which I am able to understand intuitively for the activation functions like …