from tensorflow.keras.layers import Dense
keras.models.sequential([
keras.layers.Conv2D(filters=32,kernel_size=3, strides=(2,2),padding="valid",activation='relu',input_shape=[28, 28,1]),
keras.layers.MaxPooling2D(pool_size=(2,2)),
keras.layers.Flatten(),
keras.layers.Dense(units=128,activation='relu'),
keras.layers.Dense(units=10,activation='softmax')
])