Question: Forward path calculation of CNN (a) (0.3%) Compute the values of the output matrices after the convolution step. (b) (0.3%) Compute the output values after

Forward path calculation of CNN

(a) (0.3%) Compute the values of the output matrices after the convolution step.

(b) (0.3%) Compute the output values after the ReLU operation.

(c) (0.3%) Compute the values after the max pooling operation

(d)(0.3%) List the values of the vector after it is flattened based on the row major counting system

(e) (0.3%) Given the NN, what is the total number of the trainable parameters?

Forward path calculation of CNN (a) (0.3%) Compute the values of the

Filter WO (3x3x3) WO[:, :,0] 1 0 -1 Filter W1 (3x3x3) wl[:, :,0) -1 -1 -1 -11 - 1 0 10 -10 1 - 1 1-1 wl[:, :,1 0 o (Q1) Forward path calculation of CNN WO[:,:,1) 0 1 1 - 1 1 1 -101 oo WO[:, :,2) 0 0 0 001 To wl, 2 11 -11 -11-11 1 0 1 Input Volume (+pad 1) (7x7x3) x[:,:,0] 0 0 0 0 0 0 0 0 2 2 2 2 0 0 0 0 2 1 1 2 0 0 2 2 2 1 0 0 0 2 2 1 1 1 0 0 2 1 2 2 10 0 0 0 0 0 0 0 x[:,:,1) 0 0 0 0 0 0 0 0 2 2 0 2 1 0 0 1 2 2 2 PO 0 2 2 2 1 0 0 0 1 2 2 0 1 0 0 0 0 1 1 1 0 0 0 0 0 0 0 0 x[:, :,2] 0 0 0 0 0 0 0 0 0 0 1 2 20 0 0 0 1 0 1 0 0 2 2 0 1 2 0 0 0 1 1 0 2 0 0 0 0 0 0 0 0 Bias 0 (1xx b0[:,101 Bias (lxlxl) bit:,:,0] 0 (a) Compute the values of the output matrices after the convolution step. (b) Compute the output values after the ReLU operation. (c) Compute the values after the max pooling operation (d) List the values of the operation after flatten it to a vector based on row major counting. (e) Given the NN, what is the total number of the trainable parameters toggle Stride 2 Overlapping max pooling of 2x2, stride 1 Flatten Fully Connected layer of neurons Fully Connected layer of 2 softmax neurons Filter WO (3x3x3) WO[:, :,0] 1 0 -1 Filter W1 (3x3x3) wl[:, :,0) -1 -1 -1 -11 - 1 0 10 -10 1 - 1 1-1 wl[:, :,1 0 o (Q1) Forward path calculation of CNN WO[:,:,1) 0 1 1 - 1 1 1 -101 oo WO[:, :,2) 0 0 0 001 To wl, 2 11 -11 -11-11 1 0 1 Input Volume (+pad 1) (7x7x3) x[:,:,0] 0 0 0 0 0 0 0 0 2 2 2 2 0 0 0 0 2 1 1 2 0 0 2 2 2 1 0 0 0 2 2 1 1 1 0 0 2 1 2 2 10 0 0 0 0 0 0 0 x[:,:,1) 0 0 0 0 0 0 0 0 2 2 0 2 1 0 0 1 2 2 2 PO 0 2 2 2 1 0 0 0 1 2 2 0 1 0 0 0 0 1 1 1 0 0 0 0 0 0 0 0 x[:, :,2] 0 0 0 0 0 0 0 0 0 0 1 2 20 0 0 0 1 0 1 0 0 2 2 0 1 2 0 0 0 1 1 0 2 0 0 0 0 0 0 0 0 Bias 0 (1xx b0[:,101 Bias (lxlxl) bit:,:,0] 0 (a) Compute the values of the output matrices after the convolution step. (b) Compute the output values after the ReLU operation. (c) Compute the values after the max pooling operation (d) List the values of the operation after flatten it to a vector based on row major counting. (e) Given the NN, what is the total number of the trainable parameters toggle Stride 2 Overlapping max pooling of 2x2, stride 1 Flatten Fully Connected layer of neurons Fully Connected layer of 2 softmax neurons

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