tensorflow Conv2DTranspose summary param # Questions about the result

What Does model.summary() Show for Conv2DTranspose?

Let’s break it down:

Formula to Calculate Trainable Parameters:

For a Conv2DTranspose layer, the number of trainable parameters is:

(filter_height × filter_width × output_channels × input_channels) + output_channels (biases)

Example:

Conv2DTranspose(filters=32, kernel_size=(3, 3), input_shape=(64, 64, 16), use_bias=True)

• filters = 32 → this is the number of output channels
  
  

• input_channels = 16
  
  

• Kernel size = 3×3 = 9
  
  

Weights = 3 × 3 × 32 × 16 = 4608
Biases = 32
Total parameters = 4640