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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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How we can identify the problem of Overfitting and underfitting and maintain bias?
Under/overfitting depends on two things: the amount of data in your dataset and the complexity of your model.
To identify when each of these is happening, you will have to split the data you have into …