Predicting Hospital Readmission with Deep Learning from Scratch and with Keras

Recently, I watched a video https://www.youtube.com/watch?v JPBz7-UCqRo) from my friend Eric Ma on the fundamentals of deep learning. To teach deep learning, he breaks it into 3 key ingredients: model, loss function, and optimization routine. Throughout the tutorial, he uses an automatic differentiation toolbox. However, I find it deeply satisfying to do the derivatives myself (at least for simple cases). Today, I thought I would build a 2-layer neural network from scratch following Eric's approach but with algebraic derivatives (from Andrew Ng's Coursera class), and then implement it again using Keras (a deep learning framework).