A playground for Artificial Intelligence and Machine Learning, mostly experiments, possibly something more here and there.
Given I know next to nothing about this field, here is some terminology I have picked up along the way. It's entirely possible that I have got something wrong, in which case I will not be offended if you reach out to me and point out my mistkaes:
- PSNR: Peak Signal-to-Noise Ratio is an expression for the ratio between the maximum possible value (power) of a signal and the power of distorting noise that affects the quality of its representation. [1]
- Epoc: The number of passes over the dataset to spend training the model.
