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It's Deep Learning, not much to do with any analytical model, it's not thinking like a human :-(. Recently even good NLP processing needs 24GB+ for training (wo
by bitL 8y ago
It's Deep Learning, not much to do with any analytical model, it's not thinking like a human :-(. Recently even good NLP processing needs 24GB+ for training (won't fit into 16GB), a good quality colorizing (no spills, natural colors) could be expected to be as demanding.
From the article:
"BEEFY Graphics card. I'd really like to have more memory than the 11 GB in my GeForce 1080TI (11GB). You'll have a tough time with less. The Unet and Critic are ridiculously large but honestly I just kept getting better results the bigger I made them."
- taeric 8y agoI get that. I just have a hard time thinking that is "generalizing" the model, so much as making the model all encompassing.
- tripzilch 8y agoIt's the difference between the sense of training the model to be a "generalist" and it doing "generalizing". I strongly doubt that you can "generalize" colourization in the sense that you talk about (over a wide variety of subject matter).