Lecture 11: Convolutional Networks
نویسنده
چکیده
• They require a lot of connections: if the input layer has M units and the output layer has N units, then we need MN connections. This can be quite a lot; for instance, suppose the input layer is an image consisting of M = 256× 256 = 65563 grayscale pixels, and the output layer consists of N = 1000 units (modest by today’s standards). A fully connected layer would require 65 million connections. This causes two problems:
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