Neuronal Network

I want to build a neural network that implements an approximation to a non-linear sensor behavior shown in the table. It has one input and one output. The hidden layer should have a maximum of five neurons. Is it possible to train such a network in Edge Impulse for later implementation on a Arduino ESP32 for example?

Hi @ckuehnel,

It looks like you want to do regression. You will want to upload your data with the ground-truth output value as your label. Please follow this regression guide for more information.

From there, you can either define your network architecture in the neural network settings page:

Or you can switch to Expert mode if you are more comfortable writing Keras code.