LeNet - 5 made extensive use of padding to create valid convolutions, to avoid increasing the number of channels after every convolutional layer. True/False?
Question
LeNet - 5 made extensive use of padding to create valid convolutions, to avoid increasing the number of channels after every convolutional layer. True/False?
Solution
False. LeNet-5 does not use padding to create valid convolutions. Instead, it uses a technique called 'subsampling' (similar to pooling) to reduce the dimensionality of the data. The number of channels is increased after the convolutional layers, but this is not due to padding.
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