Pienso Deep Learning uses labeled training data to create a powerfully accurate topic model.
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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.
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.
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06 Analysis
Pienso Analysis lets you use a finalized Fingerprint or Deep Learning model to investigate a data set through an array of granular views.
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01 Ingest
Pienso Ingest lets you prepare your raw text for use as training data, whether it's structured or unstructured.
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02 Explore
Pienso Explore lets you search a data set for documents that match your interest.
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03 Annotate
Pienso Annotate empowers you to convert your data sets from unstructured to structured — without manually labeling a single document.
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04 Fingerprinting
Pienso Fingerprinting is an interactive semi-supervised approach to training generative models.
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07 Dashboard
Pienso Dashboard lets you monitor the results of your Fingerprint or Deep Learning models in real-time as they score new documents as part of your Pienso API Deployment.
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08 Deploy
Pienso Deploy is a UI-driven API deployment manager. Use it to put your models on an API production slot that you can send your live data to for scoring.
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