Deep Learning - Artificial Neural Networks with Tensorflow - Saving and Loading a Model

The video tutorial addresses common questions about saving and loading models in TensorFlow using the Keras API. It explains the process of saving a model with model.save and loading it back with TF.keras.models.loadmodel, highlighting a bug related to explicit input layers. The tutorial also covers how to share models stored in Google Drive using both the interface and Python code.

What is the method used to save a model in TensorFlow?

What issue might arise when loading a model that was created with an explicit input layer?

How can you confirm that a model has been loaded successfully in TensorFlow?

What steps can you take to share a saved model with a teammate?

What is the alternative method to download a file using Python code in Google Colab?