re: Why Predictive Maintenance Is Fundamental in Industry 4.0 by rscasny

rscasny — Mon, 08 Oct 2018 00:19:38 GMT

This event is open for registration.

re: Why Predictive Maintenance Is Fundamental in Industry 4.0 by rscasny

rscasny — Mon, 12 Nov 2018 20:20:06 GMT

Webinar slides are attached.

re: Why Predictive Maintenance Is Fundamental in Industry 4.0 by gio89

gio89 — Thu, 06 Dec 2018 09:39:48 GMT

Hi all,

There were some questions that were not addressed during the webinar. Below the answer:

"Are AlexNet, ResNet supported? Can I train and deploy my own custom models?"

The networks themselves would need to be slightly modified in order to be compliant with our input tool in order to get them to run on the AM57x processor. Note that these networks are not designed for an embedded processor and are more used for benchmarking in the industry.

Yes you can train and deploy your own custom models. We provide an embedded friendly network Caffe-Jacinto to help with this. For custom models, there are restrictions on the layers and parameters supported, but if you stay within these restrictions they can deploy on our AM57x devices.

"What are the best ways to reduce false positives and false negatives?"

It is a mix of having the good neural network design and having enough training data / not biased. More training data will reduce the false positives and false negatives.

Thanks

Giovanni