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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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Comparing Efficiency of Machine Learning Algorithms
I know that the algorithmic complexity of CNNs and other methods of deep learning can't be fully expressed in simple terms, like big oh complexity. That said, how would one go about comparing the effi …