I have a question, in the lecture while you were teaching the topic of the kernel. Here the image has three channels so we are taking 3 kernels. So the output should be 3 layers. One channel of image passing through one kernel. Or if one channel passes through all 3 kernels then we should get 9 outputs. 3 kernel * 3 channel = 9 layer output. But My question is why we are getting 8 layer output.
Here in Conv2d function, we are passing 3 for 3 kernels but why 8 for output.