Data Science and Machine Learning (Theory and Projects) A to Z - Project I_ Book Writer: Modelling RNN Model Training

The video tutorial covers defining a model and saving its parameters using checkpoints. It explains the difference between saving checkpoints and the entire model, and how to set up directories and callbacks for checkpoints. The tutorial then demonstrates training the model, initially set for 15 epochs, but later adjusted to 2 epochs for faster processing. The video concludes with a brief mention of the next steps, which involve text generation using the trained model.

What new insight or understanding did you gain from this video?