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.
Build a model to solve a classification problem.
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.
Build an image classifier of clothing through creating the typical building blocks of a convolution neural network.
Use BERT to build a text classifier to perform sentiment analysis on movie reviews.
Solve a multi-label classification problem for content-based automatic music tagging.
This is a regression problem where you will predict the protein expression rate for a given DNA sequence.
Use a pretrained snippet in a classification model designed to detect different types of car damage.
How to solve an image segmentation problem.
How to work with exported models.
Use an autoencoder to reconstruct noisy images.
How to do an off-platform analysis of a classifier model.
