For deep learning methods, there are always too many epoches to run. It's the progess to find the best result within the acceptable dropout.
There is a background that the final answer is reachable and before that every answer is continuous. This is based on the hypothesis the statistical distribution of Gaussian mostly.
What if not? Is that possible?
DATE: 06/09/2020
LOCATION: Fuzhou
TAGS: Imagine