Question: Consider the following forward propagation through a fully - connected deep neural network architecture ( 2 5 6 nodes in hidden layer ) for a

Consider the following forward propagation through a fully-connected deep neural network architecture (256 nodes in hidden layer) for a 3232-image sample represented as vector x with one-hot encoded correct label 3-vector y and predicted probability vector hat(y)(indexing starts from 0):
Identify the missing shapes corresponding to the question marks.Also what happens when ReLU is changed to tanh ?
Consider the following forward propagation

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