Convolutions, Kernels, Downsampling & Properties — What does a CNN model look like in code? from keras import layers
from keras import models seq_model= models.Sequential()
seq_model.add(layers.Conv2D(32, (3, 3), activation='relu', input_shape=(28, 28, 1)))
seq_model.add(layers.MaxPooling2D((2, 2)))
seq_model.add(layers.Conv2D(64, (3, 3), activation='relu')) seq_model.add(layers.MaxPooling2D((2, 2)))
seq_model.add(layers.Conv2D(128, (3, 3), activation='relu'))