Is There a Danger of Overfitting?

Overfitting is kind of the biggest problem with these neural networks. If you don't have a lot of data, then oftentimes, because this model is so complex, it won't perform as well as a simple model. It's definitely something to keep an eye on and make sure that you're not overfitting the model to the one athlete. At what point is it too much or not enough data for the neural network? Those two things kind of way against each other. So if we have a whole lot of data from an athlete, then we can use a whole many parameters as well. And that's the cool situation when we have an athlete that comes in with a bunch of data