[D] Research topic for a high school student • r/MachineLearning

I'm practicing explaining ML concepts, so, experts, please correct me if any of my points are incorrect or misleading. For example, I was reading an example of regression analysis where the factors such as cylinders, displacement, horsepower affect the mpg of a car. The topic would touch on how many of these factors, or neurons is too much. It seems like you may be conflating features, data about what you're observing that you give as inputs to your model, such as "cylinders, displacement, horsepower", and neurons, which are fine-tuned by training to make up the function you're trying to learn. Maybe I can help you by giving a few reasons people don't just keep increasing the number of neurons.