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Creating an AI Model

This guide will walk you through the process of creating a new model using the intuitive and user-friendly interface provided by Kranium AI. Whether you're building a machine learning (ML) model for predictive analytics or a convolutional neural network (CNN) for image recognition, Kranium AI offers a wide range of tools and capabilities to help you bring your AI projects to life.

1. Accessing the New Model Creation Functionality​

Steps:

  1. Navigate to the Models Section:
    • From the main dashboard, click on the "Models" tab to access the Models section.
  2. Initiate New Model Creation:
    • Look for the "Create New Model" button, typically located in the top-right corner of the Models listing screen.
    • Click on this button to initiate the new model creation process.

2. Setting Up the New Model​

Steps:

  1. Select Model Type:
    • Choose the type of model you want to create from the available options, such as regression, classification, clustering, or CNN.
  2. Provide Model Details:
    • Enter relevant details for your new model, including a name and description. This helps you identify and manage your models effectively.
  3. Choose Dataset:
    • Select the dataset you want to use for training the model. Kranium AI allows you to import datasets from various sources, so make sure you have the dataset ready before proceeding.

3. Configuring Model Settings​

Steps:

  1. Choose Algorithm/Architecture:
    • Select the appropriate algorithm or architecture for your model based on the task at hand. Kranium AI provides a range of options, including linear regression, random forest, neural networks, and CNNs.

Creating a new AI model in Kranium AI is a straightforward process that empowers you to leverage the power of machine learning and deep learning for your projects. By following this guide, you can efficiently set up your models with ease. Whether you're a data scientist, AI engineer, or business professional, Kranium AI provides the tools and capabilities you need to bring your AI projects to fruition.