There are a lot of hyperparameter optimization tools such as SMAC. But I found it exhausting, even frustrating, to set it up for a neural network’s hyperparameter. I’ve found my favourite technique which whom I feel very confident with because I can have full insight into the procedure and make my own changes. Ā In addition, … Continue reading
Category Archives: Machine Learning
Dynamic Movement Primitives (DMPs) in a nutshell
As for my Bachelor thesis I have to learn the concept of DMPs, I thought it would be a great idea to write down a short summary. So what are DMPs? Dynamic Movement Primitives can be seen a mathematical formulation of movement primitives with autonomous non-linear differential equations. Their change of state during the passing … Continue reading
Handwritten Digit Recognition Using A Naive Bayes Classifier Trained With MNIST
‘The task consists of labeling the MNIST testing dataset’. That’s what we’ve been told at the Machine Learning lecture concerning the newest programming task. And it left us all petrified (kind of š ). In groups of two we left the lecture andĀ started with that interesting task. We decided to implementĀ the handwritten digit recognition using … Continue reading
Me, Myself, AI 