Tutorial: How to use Tensorboard with Pytorch

While I was training my first networks, I ran into the problem of having to calculate, save and then plot all of the accuracies and losses per epoch. Because I wanted to focus on training, my plots weren’t the prettiest either. This is where I got the tip to use Tensorboard for displaying my results.…… Continue reading Tutorial: How to use Tensorboard with Pytorch

Linear Regression: Theory And Implementation With Numpy Or Scikit-learn

What is regression, anyways? Regression is a way to find relationships between different variables or data points and then use this to predict new values. An example would be data about houses. We can observe various things about them like the number of rooms, the city it’s located in, the year it was built and…… Continue reading Linear Regression: Theory And Implementation With Numpy Or Scikit-learn