Pienso Deep Learning uses labeled training data to create a powerfully accurate topic model.
01.Create a Deep Learning Model
Pienso Deep Learning models are created using labeled training data. You can generate labels and a labeled data set using Pienso Fingerprinting and Pienso Annotate, or you can upload your own labeled data set directly to Pienso Ingest.
Pienso Deep Learning produces production-caliber deep learning models with minimal user effort. It automates and optimizes steps that would otherwise require an experienced deep learning engineer — no hands-on training required.
03.Finalize your Deep Learning Model
Packaging your DL model for deployment is as simple as clicking 'Finalize.'
From here, you'll be able to test your model against From here, your model can be tested in Pienso Analysis or directed at live data with Pienso Deploy.
Pienso Analysis lets you use a finalized Fingerprint or Deep Learning model to investigate a data set through an array of granular views.