/explore
|
You are here |
blog.mbrt.dev | ||
| | | | |
mbuffett.com
Getting better at chess is really hard. My theory is that it's at least partially because of the feedback lag. Imagine learning to play the violin, but you have to play each song with earplugs in, then listen to the recording after. This is roughly what chess learning feels like, outside of focused drills. You play a game, ignorant of which moves are good and bad, then you get feedback from the computer at the end of the game - way past the point where you made the move. I don't think this is compatible with how humans learn, generally. |
|
| | | | | ||
| | | | |
www.kyleboddy.com
On February 22nd, 2022, I played in my first USCF-rated tournament - it was hosted at the Seattle Chess Club, and it was the U1200 Novice event. I had a decent bit of experience playing over ... |
|
| | | | | ||
| | | | |
pvdz.ee
Personal website of Peter van der Zee (kuvos) |
|
| | | | | ||
| | | | |
saturncloud.io
By combining Dask and PyTorch you can easily speed up training a model across a cluster of GPUs. But how much of a benefit does that bring? This blog post finds out! |
|
| | | |||