I'm reading material from the TensorFlow website:
https://www.tensorflow.org/tutorials/layers
Suppose we have 10 greyscale monochrome 28x28 pixel images,
- If we apply 32 5x5 convolutional filters with 0 padding in the 1st conv layer, we get 10*32*28*28 data.
- If We apply 2x2 max pooling with stride 2 in the 1st pooling, we get 10*32*14*14 data.
- By now, one image has become a 14*14 size image with 32 channels.
So, if we apply a second convolutional layer(let's say 64 5x5 filters as in the link), do we apply these filters to each channel of each image and get 10*32*64*14*14 data?