In multi-class classification, why do you need to use a SoftMax activation — why can’t you use a sigmoid activation?
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1. In multi-class classification, why do you need to use a SoftMax activation — why can’t you use a sigmoid activation?
2. During training, what is the indicator that your network might have started to overfit?
3. Given a convolutional filter shape of (3, 3), input image shape of (30, 40), and a stride of 1 (one), what will be the shape of the output when you apply five of these linear filters to the image?
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