Welcome to the second post of our “Build a DeepLearning algorithm from scratch in F#” serie. In our previous article, we described how to implement a logistic regression with a neural network mindset. In that scneario, the input layer is connected directly to the output layer. In today’s post, we’ll build our first neural network
Welcome to the first article of a serie dedicated to learning how to build neural networks from scratch using the F# language. We will base our articles on the original work of Andrew NG tutorials, availabe on Coursera, but using F# instead of Python. Today we will build a logistic regression classifier to recognize cats.