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Creating a neural network from scratch without the use of libraries like TensorFlow, Keras, PyTorch, etc. Only using python math libraries.

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A Neural Network from scratch

For experimental purposes. This is mostly just to observe the math behind a neural network and how each part comes together to allow the model to "learn."

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A follow-up to this will be building a simple transformer from scratch, in a similar way. (But maybe with the use of a little more help, library wise.)

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Creating a neural network from scratch without the use of libraries like TensorFlow, Keras, PyTorch, etc. Only using python math libraries.

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