message: minor fix demos
diff: @@ -35,10 +35,12 @@ def top_level_task():
  model.add(Conv2D(filters=32, kernel_size=(3,3), strides=(1,1), padding="valid", activation="relu"))
  model.add(MaxPooling2D(pool_size=(2,2), strides=(2,2), padding="valid"))
  model.add(Conv2D(filters=64, kernel_size=(3,3), strides=(1,1), padding="valid", activation="relu"))
  - model.add(Conv2D(filters=64, kernel_size=(3,3), strides=(1,1), padding="valid", activation="relu"))
  + model.add(Conv2D(filters=64, kernel_size=(3,3), strides=(1,1), padding="valid"))
  + model.add(Activation("relu"))
  model.add(MaxPooling2D(pool_size=(2,2), strides=(2,2), padding="valid"))
  model.add(Flatten())
  - model.add(Dense(512, activation="relu"))
  + model.add(Dense(512))
  + model.add(Activation("relu"))
  model.add(Dropout(0.5))
  model.add(Dense(num_classes))
  model.add(Activation("softmax"))
  @@ -47,7 +49,7 @@ def top_level_task():
  model.compile(optimizer=opt, loss='sparse_categorical_crossentropy', metrics=['accuracy', 'sparse_categorical_crossentropy'])
  print(model.summary())
  - model.fit(x_train, y_train, batch_size=64, epochs=1)
  + model.fit(x_train, y_train, batch_size=64, epochs=4)
  if __name__ == "__main__":
  print("Functional API, cifar10 cnn")
  