Tutorials

The best way to learn is to try it out yourself. Here you’ll find our tutorials and use cases ready to be used by you. The tutorials will give you an overview of the platform or will highlight a specific feature.

We recommend you start with the Deploy an operational AI model tutorial. It will give you an overview of the platform’s key concepts.

For beginners

MNIST

Deploy an operational AI model
Explore how to build an image classification model that can recognize handwritten numbers. Then deploy and test it.

Cali

Predict real estate prices
Build and train an AI model with real data — both numbers and images — using the Peltarion Platform to make it reliable for house price prediction.

Cali

Self sorting wardrobe
Build an image classifier of clothing through creating the typical building blocks of a convolution neural network.

Move

Movie review feelings
Build a text classifier to perform sentiment analysis on movie reviews.

Move

Classify text in any language
Build a multilingual text classifier that can recognize many different topics.

Cali

Car damage assessment
Use a pretrained snippet in a classification model designed to detect different types of car damage.

Cali

Book genre classification
Use BERT to build a text classifier for book summaries.

Cali

Use AI to detect fraud
How to use class weight when working with an imbalanced dataset

slack

Detecting defects in mass produced parts
Build a image classification model to detect faulty parts in a production line.

slack

Buy or not? Predict from tabular data
Build a simple AI model that use the spreadsheets to solve a classification problem

For intermediate users

Cali

Build your own music critic
Solve a multi-label classification problem for content-based automatic music tagging.

Zapier

Verify images with Zapier and Peltarion
Build an automated and effective system that verifies customer photo uploads.

Cali

Look deep into DNA
Do some DNA research. Use multi-label classification to predict the protein expression rate.

Cali

Skin cancer detection
How to solve an image segmentation problem.

slack

How to Improve a model you have built on tabular data
Once you have a working model, the next important step is making systematic changes to the design to try to improve the performance.

Cali

Kaggle competition with zero code
Kaggle without knowing TensorFlow or PyTorch? In this tutorial we explore how it’s possible.

Cali

Writing style tutor
A text similarity end-to-end project to figure out which of the old classic writing style you mirror.

Cali

Denoising images
Use an autoencoder to reconstruct noisy images.

Bubble

Create a no-code app
Build a no-code app around your AI model.

slack

Audio analysis for industrial maintenance
Build a model which uses audio recording to detect abnormal operation in industrial machinery.

Complaint

Classify customer complaints
Use natural language processing and deploy a working model.

PowerApps

Use Peltarion connector in Microsoft Power Apps
Create an app to call your deployed classification model.

For expert users

slack

Shape up your Slack chaos
Create a model that identifies patterns in Slack messages and tell people if they posted in the wrong channel.