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Neurons in one layer are only linked to neurons in the subsequent layer which have been spatially close to them. This layout trims the overwhelming majority of connections amongst consecutive layers, but keeps the ones that have by far the most helpful data.

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$begingroup$ On the standard stage, an RNN is usually a neural community whose future point out depends upon its past state(s), although a CNN can be a neural network that does dimensionality reduction (make massive facts lesser when preserving details) through convolution. See this for more information on convolutions Share Improve this solution Adhere to