This user’s guide helps you get the most out of Neural Designer, from technical features to model deployment and integrations.
Technical Features
This article presents and explains the lists of technical features Neural Designer offers on your journey to data analytics using Machine Learning.
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Build a neural network in 7 steps using Neural Designer
In this article, we build a neural network that approximates a function defined by a set of data points. To complete the process, seven steps have to be followed.
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Neural Designer components
Neural Designer comprises a window to edit the project settings, an artificial intelligence engine that runs tasks, and another window to view the results. This article explains the use and functioning of those components in detail.
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Start using Neural Designer in Amazon Web Services
This tutorial will help you initialize a virtual machine in Amazon Web Services with the Neural Designer software installed and ready to use.
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How to integrate a Neural Designer model in Microsoft Power BI
This tutorial will help you take advantage of Neural Designer's model deployment. In particular, we will export a Neural Designer model to Python and then integrate it in Power BI.
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The user guide follows the same order as a Neural Designer project: import and describe the data, select the inputs and targets, configure the neural network, define training, inspect testing results and export the model. Use the individual component pages when you need the meaning of a setting or output.
For a first project, continue with the Neural Designer overview, the interface components and the network design workflow. The 7-step tutorial provides a shorter end-to-end path.