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Hi friends
Just published the last part of a 3 part article about predicting malignancy in tumors combining a 2 layer neural network built from scratch in Python and the Wisconsin dataset. Although this is all written in standard Python, I was inspired to begin writing articles because of fast.ai and I mention fast.ai related stuff at different points in the articles. I recently finished watching the first pass of the new 7 lessons of V3 and I look forward to continue enjoying fast.ai :wink:

The articles include 3D animations of loss landscapes that I created specifically for them

Part 1: https://towardsdatascience.com/the-keys-of-deep-learning-in-100-lines-of-code-907398c76504

Part 2: https://towardsdatascience.com/coding-a-2-layer-neural-network-from-scratch-in-python-4dd022d19fd2

Part 3: https://towardsdatascience.com/predict-malignancy-in-breast-cancer-tumors-with-your-own-neural-network-and-the-wisconsin-dataset-76271a05e941

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