This repository is dedicated to implementing a Neural Net from scratch using the implementations made in the Deep Learning Spec. course by Andrew Ng. The intent is to add the implementations as the course goes on, so next steps are adding more optimization options, regularization techniques, variance redcution techniques and ways to deal with overfitting.
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Implementing a Neural Net from scratch
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