Question $35$

$1$ pts

Suppose your input is a $256256$ greyscale $($one channel$)$ image and you use a convolutional layer with $100$ filters that are each $55.$ How many weights does this hidden layer have?

Question $36$

$1$ pts

The following statement about the pooling function is false?

The different input pixel values to the pooling operation will always result in different pooling results in the reduced images.

Pooling operation is often used along with CNN$.$

Pooling has the property of location invariance: as long as there is a large value in one of the four pixels in the block, the whole block registers as a large value in the reduced image.

$22$ Pooling reduces feature maps by a factor of four.

Question $37$

$1$ pts