How to Train a Model for Machine Learning?

When we have a video clipsat nomny, we can say, tat something going on in te vido e clip. So that is actually what we call this sperio temporary information. What we can do now in deep learning and technicues cenerial, you can do sat you use a model to break down the dimension of that vidioclips into a low dimensional latent space. In that low dimensional latent so you have some sparo temporal information goingon, which is actually some features. Can you describe some of the procedures to turn this raw data feed into something more consumable for machine learning?