3 ms·
> This OP's writeup is just about the simplest exposition that doesn't miss the point, and it misses the major transition when you go to layers with nonlinearit
by cr0sh 7y ago
> This OP's writeup is just about the simplest exposition that doesn't miss the point, and it misses the major transition when you go to layers with nonlinearities between them.
Well - the activation function appears to be linear, and thus close to RELU - and so (maybe?) there wouldn't be any issue with the so-called "vanishing gradients" problem? But I am just a hobbyist who dabbles in this topic, so my opinion doesn't carry much weight...
- madhadron 7y agoThere is no activation function. It's linear regression.
- derangedHorse 7y agoTo be fair, there’s also no layers in linear regression