AI-ANNE professional

(A) (N)eural (N)et...

AI-ANNE professional enables resource-efficient deep learning models on microcontrollers as embedded systems. Pretrained parameters can be transferred to MicroPython for offline and real-time monitoring, or training can take place directly on the microcontroller.

...for (E)xploration

AI-ANNE professional is also the basis for didactic tools like KI-ENNA education and KI-ENNA academic. The aim is to convey the functionality of neural networks (activation functions, parameters, etc.) in a simple and efficient way using classic data science examples..

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MIT License. Information and free download:

Introduction to Neural Networks

AI-ANNE professional enables flexible and resource-efficient training of neural networks in the browser, which can then be transferred to a microcontroller such as the Raspberry Pi Pico for practical applications like computer vision or the analysis of sensor data.

Mathematical Basics

AI-ANNE professional provides a clear introduction to the mathematical principles of neural networks and explains how they work using practical examples. Sigmoid, Tanh, ReLU and Leaky ReLU are available activation functions.

Code with MicroPython

With AI-ANNE professional, the mathematical principles can be easily programmed in MicroPython and implemented directly for use on a microcontroller. For example, a matrix can be transposed and functions easily be coded.

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