41–50 of 179 posts
Machine learning is really machine-enhanced educated-guesswork, which has its place but also has its limits.
The problem with techniques like this is that they fundamentally amount to ‘making a plausible guess as to what the image would look like’, since essentially they can’t extract information that is simply not there. There is a Shannon entropy limit here. Machine learning is really machine-enhanced educated-guesswork, which has its place but also has its limits.
Impressive of the American news channel, CNN, to convert images in minus one second.
CNN here is a "Convolutional Neural Network"
The other option is spelling it out.
Most people will read CNN as the news channel. Even those familiar with neural networks.
The problem with techniques like this is that they fundamentally amount to ‘making a plausible guess as to what the image would look like’, since essentially they can’t extract information that is simply not there. There is a Shannon entropy limit here. Machine learning is really machine-enhanced educated-guesswork, which has its place but also has its limits.
I was just wondering a couple days ago why the image from my phone is so grainy, while my eyes+brain can see everything clear in the dark (it wasn't completely dark, of course). This seems to replicate the post-processing we do in our brain (which is also a giant neural network). I wonder if the process is similar?
Very small numbers of photons (1) are required to trigger rhodopsin cycle. So primary receptor itself is very very VERY sensitive.
Impressive of the American news channel, CNN, to convert images in minus one second.
They should make a CLI tool, it stores your processed images one sec before it is invoked! See also: https://en.m.wikipedia.org/wiki/Thiotimoline The major peculiarity of the chemical is its "endochronicity": it starts dissolving before it makes contact with water.
I was just wondering a couple days ago why the image from my phone is so grainy, while my eyes+brain can see everything clear in the dark (it wasn't completely dark, of course). This seems to replicate the post-processing we do in our brain (which is also a giant neural network). I wonder if the process is similar?
Your brain doesn’t make a 2 dimensional image based entirely on photons entering your eye. You generate a complex physical model of your surroundings based only partially on visual input and rely substantially on memory.