Posts

• Apr 17, 2019 ML Explanations
  This post contains great explanations for various Machine Learning concepts.
• Nov 19, 2015 Recurrent Neural Networks
  This post will cover the ideas behind Recurrent Neural Networks and its improved variation (Long Short-Term Memory), as well as some aspects of its implementation.
• Mar 29, 2015 Backpropagation In Neural Networks
  We will show how a simple Multilayer Perceptron network is trained using backpropagation.
• Mar 1, 2015 How Many Folds for Cross-Validation
  Cross-Validation is a method for estimating the performance of a classifier for unseen data. In this post, we will try to figure out how many folds that should be used for cross-validation.