Match the definition to the term: Feature mapGroup of answer choicesThe product of the convolve filter and a certain part of the image.The output of the convolutional filter over the input images to a particular layer.The averaged output of the filter over many images over many layers.The inner product of the convolve filter and a certain part of the image.

Match the definition to the term: Feature ResponseGroup of answer choicesThe averaged output of the feature map over many images over many layers.The output of the convolutional filter over the input images to a particular layer.The inner product of the convolve filter and a certain part of the image.The product of the convolve filter and a certain part of the image.

Which statement is true?Group of answer choicesConvolutional neural networks tend to only have 10 layers.If the feature response value is large, then that portion of the image does not look like the filter.The convolutional kernel can only take all-positive or all-negative values at a time.If there is no pattern to find, the feature response is a weighted average with the result of blurring the image.

In a convolutional neural network, the ______________ operation helps to detect edges and textures within an image.

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?

A convolutional neural network (CNN) typically consists of multiple layers followed by layers.