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What is representation learning in deep learning?

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This is a general principle applicable to. daily life, to computer science in general, and to machine learning. For example, it. is straightforward for a person to divide 210 by 6 using long division. The task. becomes considerably less straightforward if it is instead posed using the Roman. numeral representation of the numbers. read more

In this example, you looked at shapes and decided that no of corners seems like a good way to uniquely classify images. It is this task of brain that is performed by feature or representation learning algorithms. Deep learning is just one of such methods. DL learns tries to learn features on its own. read more

Yoshua Bengio gave a recent presentation on “Deep Learning of Representation” and Generative Stochastic Networks (GSNs) at MSR and AAAI 2013. read more

Abstract: The success of machine learning algorithms generally depends on data representation, and we hypothesize that this is because different representations can entangle and hide more or less the different explanatory factors of variation behind the data. read more

The goal of representation learning or feature learning is to find an appropriate representation of data in order to perform a machine learning task. In particular, deep learning exploits this concept by its very nature. read more

Image Answers

Face Representations Learning by Deep Models - ppt video ...
Source: slideplayer.com