Let's say I have 100 32x32x3 images. I have an input layer which would would have one 32x32x3 array as the input. I connect to a convolution layer with 16 filters, which gets convoled and then regularized and max pooled, resulting in 16 activation maps.
Let's say I connect to another convolution layer, convo 2. If I have 8 filters in conv2, would each filter connect with all 16 activation maps from the previous layer? That would result in 16x 8 activation maps in the next layer.
If not is there a way to do so in Keras?