Segmind platform can be used for training and managing all you ML models quickly and easily. Read this guide to get started with Segmind. We will walk you through training your first ML model.

Your first Jupyter Session.

Creating a new Jupyter Session is one of 3 ways to execute your code on Segmind infrastructure. Other ways include using Visual Studio Code interface or by submitting a Job via Python Library.

  1. Login to Segmind.
  2. Click on + button on top right and click on "New Instance".
  3. Give this a name. Say "RetinaNet on Keras".
  4. Choose the right environment.
  5. Choose compute (CPU, Memory, GPU) requirements.
  6. Choose Jupyter or Visual Studio Code IDE.
  7. Click "Create".

Updated 10 Jan 2022
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