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These are our customers most frequently asked questions (FAQ).
What is the Peltarion Platform anyway?
In short, the Peltarion Platform is a cloud-based operational AI platform that allows you to build and deploy your own deep learning models, even if you’re not an AI superstar.
To get started, check out our tutorials.
What do I need to use the Peltarion Platform?
To use Peltarion Platform you basically need Google Chrome installed on your computer. Then you’re good to go! For more detailed requirements, check our details in the Technical requirements article.
Where do I ask for help?
If you have any questions about the Peltarion platform functionality, please contact email@example.com.
How do I report a bug?
What was Synapse?
Synapse was Peltarion’s first product. It was the most advanced adaptive- and neural systems development environment on the market at the time. Synapse allowed the user to design, train, analyze, and deploy adaptive systems, such as artificial neural networks.
If you want to know more, you should use Wayback Machine to peek into the past. This link will take you back to Peltarion’s documentation November 13th, 2013.
How do I navigate to the Datasets view?
First, click + New project in the left panel to create a project. Then click on Open. This will take you to the Datasets view.
To get familiar with the workflow, check out our tutorials that will guide you step by step.
I use the downloaded .h5 when I test. Do I have to standardize the test dataset in the same way as the training dataset?
Yes, you have to be consistent and perform the same preprocessing for your train and test dataset.
If you use the Deployment API instead of a downloaded .h5, the same data processes that have been done during training will be performed automatically. That is, you don’t need to do anything.
How can I view my results for the test dataset?
You can’t use a test dataset on the Peltarion Platform right now. But you can use our tool Sidekick.
But first, make sure that your deployment is Enabled. This is how you can enable a deployment.
Test with Sidekick
Use Sidekick! Sidekick handles the mundane tasks like sending data examples to the deployment endpoints to get predictions.
I got an error message in the Modeling view. What does it mean?
There are several error messages on the Platform. We try to make them as short and full of information as possible. But if you want further guidance, check out cause and remedy for each error message in Error messages.
Can I have multiple input blocks?
Yes, you can have multiple inputs, e.g., in our Tutorial - Predict California house prices, we use both images and tabular data as input.
Which block should use when I’m designing my model?
It depends on your data and on your task. Check out our cheat sheets for tips and tricks on how to solve your problem.
How many nodes should I have in the last dense block?
As many as the shape of your target, so it depends on your task.
This is explained in our webinar: Hands on with deep learning and predictive maintenance.
For more info check out our cheat sheets for tips and tricks on how to solve your problem.
How do I work with multiple experiments?
Easy experimenting is a key feature of the Peltarion Platform.
You can run multiple experiments at the same time. If you notice that an experiment is performing better, you can easily duplicate it. Click on the Experiments option menu () and select Duplicate. Name the new experiment and then decide if and from which checkpoint you want to copy the weights.
Continue experimenting in the new experiment and then keep duplicating, tweaking and running until you are happy with the result!
Read more about working with multiple experiments.
How do I use a deployed model?
First, follow the instructions in the Deployment view part of the Knowledge center.
How do I reset my password?
To reset your password, go to this link: Reset password.
Enter your e-mail and click Send.
You will now receive an e-mail with instructions on how to reset your password.
How do I upgrade my usage plan?
To upgrade your usage plan, please contact firstname.lastname@example.org.