4 ms·
why would you want to train on the device itself?
by platz 8y ago
why would you want to train on the device itself?
- stuartaxelowen 8y agoTo fine tune the model to the specific customer needs. For example, learning the parameters of they user's face.
- outlace 8y agoIn some applications you may want to run a continual learning algorithm so it will continually train on new data as well as make inferences.
- WanderPanda 8y agoI always wonder how one would guarantee stability / convergence when learning in the field. Sounds great, but how can this be pulled off in a reliable way? Just dragging down the learning rate does not suffice in my oppinion, as for effective training you should be at the boundary of stability and greedy updates from my experience
- kowdermeister 8y agoMy main computer is a laptop with a Intel UHD Graphics 620 card :) Having a small card like this to speed up training would be so cool.