The purpose of this document is to present the linear classification algorithm SVM. The development of this concept has been…
DDD Clean Architecture Template
(GitHub Repo: https://github.com/alulema/DDD-CleanArchitectureTemplate) These last 10 months I’ve been delighted working with ASP.NET Core, considering the improvements made by Microsoft…
C# Sudoku Solver
(GitHub Repo: https://github.com/alulema/SudokuSolverNet) I was revisiting a couple of basic AI concepts: Depth First Search and Constraint Propagation, and I…
TensorFlow High-Level Libraries: TF Estimator
TensorFlow has several high-level libraries allowing us to reduce time modeling all with core code. TF Estimator makes it simple…
TensorFlow Way for Linear Regression
In my two previous posts, we saw how we can perform Linear Regression using TensorFlow, but I’ve used Linear Least…
Cholesky Decomposition for Linear Regression with TensorFlow
Although Linear Least Squares Regression is simple and precise, it can be inefficient when matrices get very large. Cholesky decomposition…
Linear Least Squares Regression with TensorFlow
Linear Least Squares Regression is by far the most widely used regression method, and it is suitable for most cases…
Classification Loss Functions (Part II)
In my previous post, I mentioned 3 loss functions, which are mostly intended to be used in Regression models. This…
Loss Functions (Part 1)
Implementing Loss Functions is very important to machine learning algorithms because we can measure the error from the predicted outputs…
Activation Functions in TensorFlow
Perceptron is a simple algorithm which, given an input vector x of m values (x1, x2, …, xm), outputs either…
