Chapter 6 - Demystifying Convolutional Networks

1. The different layers of CNN include convolution, pooling, and fully connected layers.

2. We slide over the input matrix with the filter matrix by one pixel and perform the convolution operation. But we can not only slide over the input matrix by one pixel-we can also slide over the input matrix by any number of pixels. The number of pixels we slide over the input matrix by the filter matrix is called stride.

3. With the convolution operation, we slide over the input matrix with a filter matrix. But in some cases, the filter does not perfectly fit the input matrix. That is, there exists a situation that when we move our filter matrix by two pixels, it reaches the border and the filter does not fit the input matrix, that is, some part of our filter matrix is outside the input matrix. In this case, we perform padding.
4. The pooling layer...