0

What does the number 16 (no. of outputs) represent in this Convo layer?

 layers.Conv2D(16, 3, padding='same', activation='relu'),
Sushil Khadka
  • 11
  • 2

1 Answers1

1

It means that you have 16 filters of 3x3 kernels. If you check the number of trainable parameters, you have : 16 filters x 9 parameters per kernel x 3 channels (for RGB images) + 16 biaises (one per filter) = 448 trainable parameters

Pierre-Loic
  • 111
  • 3