Gaussian Processes are a way of trying every possible function to fit a set of data points, being constrained a bit more with each new data point.
All neural networks in the list, given sufficient size, are essentially Gaussian in their behavior, and thus share the same features and limitations.
Right?
Gaussian Processes are a way of trying every possible function to fit a set of data points, being constrained a bit more with each new data point.
All neural networks in the list, given sufficient size, are essentially Gaussian in their behavior, and thus share the same features and limitations.
Right?