In our previous post, we saw how to develop a full deep learning model from scratch in F#, and we trained it to detect Cat Vs NonCat images. In this post, we will see how to integrate a train model in a .Net application. More specifically, a Xamarin Forms cross platform app that allow user
Build a DeepLearning algorithm from scratch in F# 03 – Building A Deep Neural Network Welcome to the third post of my “Build a DeepLearning algorithm from scratch in F#” serie. In the first article, we described how to implement a logistic regression with a single neuron. In the second article, we’ve seen how to
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.