In a certain modified GoogLenet the in input to the 1x1 convolution layer which has 16 filters is 28x28x92. The number of operations with 1x1 convolutions will be*1 point240844810035200124436481154048

Suppose your input is a 300*300 color (RGB) image, and you use a convolutional layer with 100 filters that are each 5×5. How many parameters does this hidden layer have (assume each filter has its own bias parameter)?a.2600b.7600c.2501d.7500

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 we have a convolutional neural network with a 5x5x1 input volume, followed by one convolutional layer with 5 filters that have a 2x2x1 receptive field, followed by one fully connected output layer with 5 neurons.  How many weights does the network have in total?

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