Lecture
Convolutional Layer: The Gradient
In course
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Description
This lecture covers the optimization of filters in a convolutional layer by learning, including the application of the chain rule through the MaxPooling stage. It explains the essential steps of the calculation and provides an interesting interpretation. The lecture also delves into the components of a typical convolutional network layer, the terminology used, and the process of backpropagation for MaxPooling.
Instructor
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Official source
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