Question

If there are 10 no of 3*3 kernels uses in convolutional layer then the number of parameters are

Answer 1

The Number of convolutional layers: In my experience, the more convolutional layers the better (within reason, as each convolutional layer reduces the number of input features to the fully connected layers), although after about two or three layers the accuracy gain becomes rather small so you need to decide whether ...

Answer 2

 In neural networks, Convolutional neural network (ConvNets or ... Figure 5: 3 x 3 Output matrix ... reduce the number of parameters when the images are too large.