Comments (4)
I've been working on https://github.com/BrainJS/brain.js/blob/nn-gpu-layers/src/feed-forward.js which runs on the gpu.
We'd need to configure the feedforward network so that it can read imagenet, likely configured with a newer proposed paper, maybe like this: https://cacm.acm.org/magazines/2017/6/217745-imagenet-classification-with-deep-convolutional-neural-networks/fulltext. Some research into which paper will likley be in order. The network exists now and is built to satisfy the raodmap https://github.com/BrainJS/brain.js/wiki/Roadmap#feedforward-class-overview and will be released once it is more stable, though it is tested.
There will be bumps and bugs along the way, but you're helping push the industry (javascript, node, gpu programming, easy neural networks) forward and the generation and those to come will thank you.
from brain.js.
Some research into which paper will likley be in order.
Maybe post findings here?
from brain.js.
Can you explain better this idea?
Because I want help this project.
from brain.js.
I need to study about system neural, but I want to help community. Do you recommend some thing?
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Related Issues (20)
- Deno Support?
- The Recurrent class will not function without a GPU HOT 1
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