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Consider a dataset consisting of grayscale images of size 100 x 100 pixels and a binary label. A deep neural network combining convolutional, pooling and
Consider a dataset consisting of grayscale images of size 100 x 100 pixels and a binary label. A deep neural network combining convolutional, pooling and fullyconnected layers is chosen for building a classifier for this dataset. (i) The third hidden layer is also convolutional and consists of 8 feature maps defined by filters of dimensions 3 x 3 x D. What is the value of D
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