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Nice to see great advancements in the training speed for deep neural network algorithms. We are also very interested in improving the speed of training. We at a
by sandeepeecs 8y ago
Nice to see great advancements in the training speed for deep neural network algorithms. We are also very interested in improving the speed of training.
We at alpes.ai have developed a non-recursive neural network algorithm which has a very fast training time. We got very good results for standard open datasets, training time in the range of seconds and accuracy on par with standard results on normal laptops without any special GPU`s or hardware.
http://alpes.ai/ http://alpes.ai/
These are the results of some of the datasets
DataSet Training Time Accuracy
Extended Yale DB 40 sec 94.00%
Human Activity Detection Dataset 3 sec 86%
MNIST 90 sec 97%
Google Speech Dataset 60 sec 92%
Liver Dataset 2 sec 89%
- osaariki 8y agoThe page you linked is very light on details. Could you point to a paper?
- sandeepeecs 8y agohey paper is on its way probably we will be publishing it in couple of weeks from now.
- yorwba 8y agoMake sure to post it to HN so we can criticize your work into the ground ;)
- cnewey 8y ago> We believe, the SNN is the correct representation of the how the mind works. In fact, we have mathematical proof that our representation is the most efficient representation. No details on the website, though. This is either very poor marketing, or (much more likely) snake oil.