You have an input volume that is 63x63x16, and convolve it with 32 filters that are each 7x7, using a stride of 2 and no padding. What is the output volume?Question 9Answera.29x29x32b.16x16x16c.16x16x32d.29x29x16

You have an input volume that is 15*15*8. You convolve it with 10 filters of size 3*3 using stride=2 and pad=2. What is the dimension of the resulting volume?a.9*9*10b.9*9*12c.9*9*8d.9*9*3

If a convolutional layer has an input size of 28x28 and applies a filter of size 3x3 with a stride of 1 and no padding, what is the size of the output feature map?

Suppose that in a MobileNet v2 Bottleneck block the input volume has shape 64×64×1664×64×16. If we use 3232 filters for the expansion and 1616 filters for the projection. What is the size of the input and output volume of the depthwise convolution, assuming a pad='same'?1 point

In a CNN, if we have a 32x32x3 input volume followed by four layers of 3x3x3filters with stride = 1 and pad = 0, how many parameters must be learned?(a) 4(b) 27(c) 28(d) 108(e) 112

Suppose you are using YOLO on a 19×19 grid, on a detection problem with 20 classes, and with 5 anchor boxes. During training, for each image you will need to construct an output volume y as the target value for the neural network; this corresponds to the last layer of the neural network. What is the dimension of this output volume?            a.19x19x(5×20)b.19x19x(5×25)c.19x19x(25×20)d.19x19x(20×25)