gistfile1.txt

from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Dense, Flatten, Dropout, Conv2D, BatchNormalization, MaxPool2D

model= Sequential()
model.add(Conv2D(32, (3,3), activation='relu', padding='same', input_shape=(28,28,1)))
model.add(Conv2D(32, (3,3), activation='relu'))

model.add(MaxPool2D(2,2))
model.add(Dropout(0.25))

model.add(Conv2D(64, (3,3), activation='relu'))
model.add(MaxPool2D(2,2))

model.add(Flatten())
model.add(Dense(64, activation='relu'))
model.add(Dropout(0.25))
model.add(Dense(3, activation='softmax'))

model.summary()