from keras.layers import Conv2D, MaxPooling2D, GlobalAveragePooling2D
from keras.layers import Dropout, Flatten, Dense
from keras.layers.advanced_activations import LeakyReLU
from keras.models import Sequential

model = Sequential()

### TODO: Define your architecture.

model.add(Conv2D(16, (3,3), input_shape=(224, 224, 3), activation = "relu"))
model.add(MaxPooling2D(pool_size=(2,2)))

model.add(Conv2D(32, (3,3), input_shape=(224, 224, 3), activation = "relu"))
model.add(MaxPooling2D(pool_size=(2,2)))

model.add(Conv2D(64, (3,3), input_shape=(224, 224, 3), activation = "relu"))
model.add(MaxPooling2D(pool_size=(2,2)))

model.add(GlobalAveragePooling2D())
model.add(Dense(133, activation='softmax'))

model.summary()