Dear Norbert Schrapf

Follow these steps:

1. Begin an approximation project. Launch Neural Designer.

2. Create a data set. Click the Import data file button on the Data set page.

3. Define the network architecture. To configure the approximation model, go to the Neural network tab.

4. Develop a neural network.

5. Enhance your generalization performance.

6. Test outcomes.

7. Set up the model.

Kind Regards

Qamar Ul Islam

Dear Norbert Schrapf

Please check the following link:

Link 1: https://www.youtube.com/watch?v=9hKHVEm16jU

Link 2: https://www.neuraldesigner.com/learning/neural-networks-tutorial

I also recommend MATLAB (Link: https://www.mathworks.com/discovery/neural-network.html)

The best way is to some good grip on Python [ https://docs.python.org/3/tutorial/ ], and then to have some good practice over PyTorch [https://pytorch.org/tutorials/] OR TensorFlow [https://www.tensorflow.org/tutorials].