Deep learning problem types

These are the problem types and use cases you can solve on the Peltarion platform right now.

Note that you can use multiple types of input data. That is both tabular and image data to solve a regression problem.

Problem type	Use case examples
Tabular regression Predict a number based on tabular data	Price predictions Tutorial Sales forecasting
Tabular classification Assign a label to tabular data	Customer purchase prediction Tutorial Fraud /anomaly detection Tutorial
Text similarity Compare and find similar pieces of text	Find similar customer questions & answers. Tutorial Plagiarism detection
Text classification Assign a label to a piece of text	Customer service ticket classification Tutorial Content moderation
Text regression Predict a number based on text	Grade texts based on how well-written they are, or automatically suggest a review rating
Image segmentation Segment out certain parts on an image	Highlighting abnormalities in medical imagery Tutorial Landscape health monitoring
Image classification Assign a label to an image	Quality assurance & Defect detection Tutorial Automatic tagging/labelling Tutorial
Image regression Predict a number based on image data	Precision farming Optimizing plant production
Image similarity Find similar images	Visual search Tutorial Automatic tagging
Audio files Convert to spectrogram and use it as an image.	Audio analysis for industrial maintenance Tutorial

Problem type

Use case examples

Tabular regression
Predict a number based on tabular data