Solved by ptrblck in post #6 
              
              
                You could visualize each “slice” of the activation volume coming from the convolution. 
I created a small code snippet: 
def show_activation_volume(grid):
    grid_arr = grid.numpy().transpose(1, 2, 0)
    grid_arr -= grid_arr.min()
    grid_arr /= grid_arr.max()
    plt.imshow(grid_arr)  

x = Vari…