3 ms·
Exactly. The problem is that it's hard to find a good balance between having too many hyperparameters, versus basically telling it the answer beforehand. In p
by duvenaud 11y ago
Exactly. The problem is that it's hard to find a good balance between having too many hyperparameters, versus basically telling it the answer beforehand. In particular, it was hard to figure out how to let it learn the stride of the convolution, but perhaps we could have done without it.
The other problem is that to get a reasonably-sized convnet by pruning and tying a fully-connected net, you need to start with a huge fully-connected net, which slows things down.
- taliesinb 11y ago> In particular, it was hard to figure out how to let it learn the stride of the convolution, but perhaps we could have done without it. Yeah, it seems impossible because changing the stride changes the size of the output tensor completely.