We have a CNN that accepts 256x256 RGB (with red, green, and blue channels) input images, the network has three convolut
Posted: Thu May 26, 2022 10:03 am
We have a CNN that accepts 256x256 RGB (with red, green,
and blue channels) input images, the network has three
convolutional layers with 5x5, 3x3 and 3x3 kernels, respectively.
All the layers have a stride of 1, and no padding. The first layer
outputs 20 feature maps, the middle layer outputs 30, and the last
layer outputs 40 feature maps.
What is the total number of parameters in the
CNN?
Please do not forget the bias for each convolutional layer.
and blue channels) input images, the network has three
convolutional layers with 5x5, 3x3 and 3x3 kernels, respectively.
All the layers have a stride of 1, and no padding. The first layer
outputs 20 feature maps, the middle layer outputs 30, and the last
layer outputs 40 feature maps.
What is the total number of parameters in the
CNN?
Please do not forget the bias for each convolutional layer.