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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Solution 1
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. Knowee AI StudyGPT is a powerful AI-powered study tool designed to help you to solve study problem. Knowee AI Stu
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