Duration: 45
Deep learning uses multiple layers to progressively extract higher level features from the raw input. For example, in image processing lower layers may identify edges, while higher layers may identify the concepts relevant to a human such as digits or letters or faces.In deep learning, each level learns to transform its input data into a slightly more abstract and composite representation.
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