Deep Learning Overview

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Deep nets are the current state of the art in pattern recognition, but they build upon a decades-old technology of neural networks talked about in the past module. Deep learning is a machine learning method based on neural networks. What distinguishes deep learning from the more general approach of neural networks is its use of multiple layers within the network to represent different levels of abstraction. Deep learning algorithms use a cascading structure with multiple layers of nonlinear processing units for feature extraction and transformation. Each successive layer uses the output from the previous layer as input. In this way, they learn multiple levels of representation that correlate to different levels of abstraction.

Видео Deep Learning Overview канала Systems Innovation