We have been able to scale to 79% accuracy on a balanced dataset of n119 and non-n119, with networks each less than three convolution layers and less than 1000 neurons, compared to pure deep-learning which does 92% on 1000 parameters and three convolution layers
Is the “1000 parameters” a typo, should it be “1000 neurons”? Otherwise, this would be a strange comparison (since 1000 parameters is a much smaller network than 1000 neurons)
Is the “1000 parameters” a typo, should it be “1000 neurons”? Otherwise, this would be a strange comparison (since 1000 parameters is a much smaller network than 1000 neurons)
Yes, thank you, it’s less than 1000 parameters for both
I think you accidentally a digit when editing this. It now says “7% accuracy”.
Corrected