Fitting the model : Section 9 lesson nr. 217

[DeanNieuwerf]

When fitting the model :

# Turn off all warnings except for errors
tf.get_logger().setLevel('ERROR')

# Fit the model with callbacks
history_101_food_classes_feature_extract = model.fit(train_data, 
                                                     epochs=3,
                                                     steps_per_epoch=len(train_data),
                                                     validation_data=test_data,
                                                     validation_steps=int(0.15 * len(test_data)),
                                                     callbacks=[create_tensorboard_callback("training_logs", 
                                                                                            "efficientnetb0_101_classes_all_data_feature_extract"),
                                                                model_checkpoint])

Google Colab returns me this error, can somebody please Help ?

 ValueError: Input 0 of layer "model" is incompatible with the layer: expected shape=(None, 244, 244, 3), found shape=(None, 224, 224, 3)

[mrdbourke]

Hi @DeanNieuwerf ,

Seeing this error:

 ValueError: Input 0 of layer "model" is incompatible with the layer: expected shape=(None, 244, 244, 3), found shape=(None, 224, 224, 3)

Looks like your input/layer shapes are off.

Your layer shape is: (None, 244, 244, 3) (notice the 244 not 224)

But your input shape is: (None, 224, 224, 3)

They both need to be either 244 or 224 (from memory, 224 is what is used mostly throughout the course).

I'd change either your input shape/layer shape to match.

[DeanNieuwerf]

Ye, i am sorry. i already closed the ticket, but thankyou for your answer