2 ms·
The pooling layers are gone along with the first RELU. I've also reduced the number of outputs in each convolution layer.
by thedragonline 6y ago
The pooling layers are gone along with the first RELU. I've also reduced the number of outputs in each convolution layer.
- enchiridion 6y agoThat's quite a bit removed. I'd be surprised if it could do much of anything. I guess by using low res data you are also shrinking the problem.
- thedragonline 6y agoI personally suspect that there are surprises in store for me by rooting around in this space. I have a .caffemodel that appears to correctly label better than chance, so my next step is to create a test dataset that's independent of original and see what happens. Personally, I find it unsettling that GPT 3 now contains 175 billion parameters. Why not go in the opposite direction and test the lower bound of what is possible?