# Complete the code to add the first conv layer with 128 filters and kernel size 3x3 , padding 'same' provides the output size same as the input size # Input_shape denotes input image dimension of images (Conv2D(______, (3, 3), activation='______', padding="same", input_shape=(64, 64, 3)))
