A simple codebase to introduce and explain with a simple structure neural networks inner workings.
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The tasks are simple 1D regression and classification on nonlinear datasets.
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The slim version is a pure C standalone implementation of a self-contained neural network trained and tested on a regression and a classification task respectively.
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The SOTA version is a Python version using the Keras library.