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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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Neural network regression problem, integer output neuron constraint
The problem I'm solving is a regression problem using neural networks, and the "y" value covers a very large range (let's say y represents the number of people, ranging from 0 people to 10000 people), …