Q$-2$ Design a CNN architecture for image classification with following architecture. Calculatethe total parameters to be updated for the entire network. Also, calculate the dimensions offeature map for each layer. Input image size: $128$x$128$x$3$ Convolutional layer $1$: $64$ filters, kernel size $3$x$3,$ stride $1,$ ReLU activation Max pooling layer $1$: Pool size $2$x$2,$ stride $2$ Convolutional layer $2$: $128$ filters, kernel size $3$x$3,$ stride $1,$ ReLU activation Max pooling layer $2$: Pool size $2$x$2,$ stride $2$ Flatten layer Fully connected layer: $256$ units, ReLU activation Output layer: $10$ units for $10$ classes, softmax activation