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YouTubeMike Gashler
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Lesson 54: Batch Normalization and Layer Normalization Key insights: * Batch normalization normalizes its inputs so downstream layers will not be affected as much by upstream changes. * It also provides two learnable parameters to undo the normalization as needed. * This stabilizes the loss surface and increases the rate of learning. * Layer ...
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