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1:08:53
YouTube
Michigan Online
Lecture 7: Convolutional Networks
Lecture 7 moves from fully-connected to convolutional networks by introducing new computational primitives that respect the spatial structure of 2D image data. We discuss convolution layers, which slide a learnable filter over the input data. We discuss pooling layers, which spatially downsample their input data. We then look at normalization ...
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