I just started learning Tensorflow/Keras and would like to know in conv6 and conv7, how do you put 3 filters in one convolution?
I have this code for both of them, but my code creates 3 separate convolutions and based on my understand that’s only one convolution right? Also, I’m not too sure if those filters are executed in parallel or sequential from left to right (wouldn’t that be the same as having 3 separate convolutions?)
keras.layers.Conv2D(filters=1024, kernel_size=(1,1), strides=(1,1), activation=’relu’, padding=”same”),
Thanks for the help!