3 ms·
Indeed ML is vast and not limited to NN. My question was more towards people who are actively using NN as a solution and _have_already_ shipped products in a '
by DoingIsLearning 7y ago
Indeed ML is vast and not limited to NN.
My question was more towards people who are actively using NN as a solution and _have_already_ shipped products in a 'regulated' industry.
The products are obviously out there, so to me it is confusing what evidence can a team provide at this point in time (with the current NN implementations) in order to get a product using NN (with a non-deterministic uncertainty) approved by a regulatory body? (automotive, medical, etc.)
Examples that jump to mind are Tesla's stereovision sub-systems (I am assuming NN are used), or NN based medical imaging classifier software (NN instead of Clustering or SVM techniques)
- yoav_hollander 7y agoHere is a (longish) post I wrote about this issue (mainly from the perspective of verifying autonomous vehicles): https://blog.foretellix.com/2017/07/06/where-machine-learning-meets-rule-based-verification/ https://blog.foretellix.com/2017/07/06/where-machine-learnin...
- DoingIsLearning 7y agoThank you very much on point. Thanks for sharing!