General question from a beginner

Hi everyone,
I am a complete beginner in machine learning and I have a general question.

Let’s say I have a 1D function with 300 points and I would like to extract 2 specifics points of this function. So my neural network would have 300 inputs and 2 outputs. I have thousands of these functions where I know precisely these two points and I would like to build a neural network to do the exact same thing. My general question for you is what kind of neural network I should use and where to start. I would need to learn how to properly set my datas and I was wondering if keras datatype would be the best way.
Thank you for your help

Hi @Raphael_Henri

Welcome to the TensorFlow Forum!

Please refer to the TensorFlow tutorial to have basic understanding on the different model building and model training. You can also refer to the TensorFlow Regression model for your case how the input data preprocessed, dataset normalized, feeded into the DNN model for training and can check the model performance as well as predict new data.

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