Deep Learning Part 7: Convolutional Neural Networks (CNNs)
12:55
YouTubeVenkat Maddineni
Deep Learning Part 7: Convolutional Neural Networks (CNNs)
Why images need a different architecture. Part 7 builds the CNN from its two priors — locality and translation invariance — through kernels and feature maps (edge detection = 30), parameter sharing, stride, padding, and pooling, up to the feature hierarchy that lets deep vision models see. ⏱️ CHAPTERS 0:00 Intro 0:26 Images as data 0:54 ...
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