model = Sequential()

# Convolution Layer 1
model.add(Conv2D(32, (3, 3), activation='relu', input_shape=(28, 28, 1)))
model.add(MaxPooling2D((2, 2)))

# Convolution Layer 2
model.add(Conv2D(64, (3, 3), activation='relu'))
model.add(MaxPooling2D((2, 2)))

# Convolution Layer 3
model.add(Conv2D(128, (3, 3), activation='relu'))
model.add(MaxPooling2D((2, 2)))

# Connected Layer 4
model.add(Flatten())
model.add(Dense(128, activation='relu'))

# Connected Layer 5
model.add(Dropout(0.5))
model.add(Dense(10, activation='softmax'))

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