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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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Number of parameters in an LSTM model
to completely receive you'r answer and to have a good insight visit :
https://towardsdatascience.com/counting-no-of-parameters-in-deep-learning-models-by-hand-8f1716241889
g, no. of FFNNs in a unit (R …