Question. 2 (3+3+4): (a), The input image has been converted into a matrix of size 28 x 28 and a kernel/filter of size 7 x 7 with a stride of 1. What will be the size of the convoluted matrix?
(b) Suppose there is an issue while training a neural network. The training loss/validation loss remains constant. What could be the possible reason?
(c) I am working with the fully connected architecture having one hidden layer with 3 neurons and one output neuron to solve a binary classification challenge with, Input dataset: [[1,0,1,0], [1,0,1,1] , [0,1,0,1]], Output: [[1], [1], [0] ]. To train the model, I have initialized all weights for hidden and output layer with 1.What do you say model will able to learn the pattern in the data?