Question 2LeNet - 5 made extensive use of padding to create valid convolutions, to avoid increasing the number of channels after every convolutional layer. True/False?1 point
Question
Question 2LeNet - 5 made extensive use of padding to create valid convolutions, to avoid increasing the number of channels after every convolutional layer. True/False?1 point
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 intermediate layers. The number of channels is increased after the convolutional layers, but this is not due to padding.
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LeNet - 5 made extensive use of padding to create valid convolutions, to avoid increasing the number of channels after every convolutional layer. True/False?
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