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Visualizing Neural Networks | Any Updates on GPU LSTM? | Adding onto a network

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I’m not really having an issue with brain.js but I was just curious if there was a way to visualize a neural network like the image below.

Image of Neural Network

I was also wondering if there’s any news on training LSTMs with a GPU, if I recall I was told it was coming soon back in March and so far I’ve heard nothing, it has become a big issue as my datasets get larger and larger.

And finally, a while back I noticed an issue someone posted (#377) which I was also having and he wasn’t able to get help so I am just going to add it onto this issue; When I train a network and save it to a JSON file I would like to be able to do network.fromJSON(); to load it then using that network, add more training on top of its existing training data since retraining everything with the old data takes forever without GPU acceleration (I’m sure it would still be an issue WITH GPU acceleration). Is this in any way possible, and if not, could it be added?

Issue Analytics

  • State:closed
  • Created 4 years ago
  • Reactions:1
  • Comments:14 (9 by maintainers)

github_iconTop GitHub Comments

9reactions
robertleeplummerjrcommented, Aug 20, 2019

Much cleaner! Feedback welcomed.

Screen Shot 2019-08-20 at 8 16 49 AM
5reactions
robertleeplummerjrcommented, Jun 26, 2019

I have NeuralNetworkGPU running now in the develop branch upgraded to GPU.js v2 rc17, and that is committed. I’m waiting on a few things there (some very exciting), including:

  • website redesign (essentially done)
  • travis-ci integration
  • automated tests through browserstack.com
  • potentially automated tests with LeaderGPU, but at the very least, manual testing

and so I’ve finally reached a point I can continue work on brain.js!

You’ll be seeing some activity in https://github.com/BrainJS/brain.js-cnn-integrity, which independently (and hackishly) tests brain.js against ConvNet.js, to ensure it’s algorithms match up 100%. After that is finished, then we finalize a few outstanding API designs, add tons of unit tests, and release.

Read more comments on GitHub >

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