CIFAR10 Model

cifar10_model.py

from tensorflow.keras import layers, models, losses

def create_model():
  model = models.Sequential([
    layers.Conv2D(32, (3, 3), activation='relu', input_shape=(32, 32, 3)),
    layers.MaxPooling2D(2, 2),
    layers.Conv2D(64, (3, 3), activation='relu'),
    layers.MaxPooling2D(2, 2),
    layers.Conv2D(64, (3, 3), activation='relu'),
    layers.Flatten(),
    layers.Dense(64, activation='relu'),
    layers.Dense(10, activation='softmax')
  ])
  model.compile(optimier='adam', loss=losses.SparseCategoricalCrossentropy(), metrics=['accuracy'])
  return model

model = create_model()

optimier should be optimizer