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SOLVED: Q1) The MNIST dataset consists of numeric pictures writtenrecursively from 0 to 9. If you want to create a neural network thatclassifies the data, what should be the activation function of thelast fully connected (Dense) layer?Q2) In neural networks, convolution layers are repeated multipletimes in deep learning, and it causes some nodes to get omitted to agreat degree. What technique can you use to prevent thisproblem?
SOLVED: Q1) The MNIST dataset consists of numeric pictures writtenrecursively from 0 to 9. If you want to create a neural network thatclassifies the data, what should be the activation function of thelast fully connected (Dense) layer?Q2) In neural networks, convolution layers are repeated multipletimes in deep learning, and it causes some nodes to get omitted to agreat degree. What technique can you use to prevent thisproblem?
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