mr_birrd
mr_birrd t1_izpew7e wrote
Reply to comment by abhijit1247 in Why popular face detection models are failing against cartoons and is there any way to prevent these false positives? by abhijit1247
that's not how it actually learns and it's a good thing, would be complete overfit if it only gives true positives for the exact images it saw in training.
mr_birrd t1_iz03cr7 wrote
I don't think you would need such a big thing like VGG even (besides, it's inefficient compared to newer architectures). The idea mostly is to extract festures with conv layers and then have an mlp to classify stuff based on the features. An AlexNet like network is the way I always start, just with adapted layer sizes. If it's already enough then no need to slap ResNet on anything.
mr_birrd t1_iyln0js wrote
Reply to comment by ApplicationBoth1829 in RTX 2060 or RTX 3050 by democracyab
Just realised no mixed precision on a p40 so there you go..
mr_birrd t1_iyjlsb4 wrote
Reply to comment by ApplicationBoth1829 in RTX 2060 or RTX 3050 by democracyab
p40 for less than 150???
mr_birrd t1_iuved4p wrote
Reply to comment by [deleted] in How to solve CUDA Out of Memory error by Nike_Zoldyck
yeah right that's not a bug it's an error simply
mr_birrd t1_iqxl8ol wrote
If it's only pure recorder and since it can only play one note per time, you could find the frequency using the fourier transform. Best if you use denoising before. Then you can just map the loudest frequencies to actual notes.
mr_birrd t1_j06rjju wrote
Reply to comment by UnnAmmEdd in [D] What would happen if you normalize each sample on its on before sending it to the neural net? by xylont
min max i suppose