In our final exploration into machine learning with PyTorch, we're going to do something critical for lifeforms in our world, learn to walk!

This post took many trials and errors, a form of reinforcement learning I completed unsupervised as a human. The resulting code below was what ended up working …

Neural networks are something you hear about constantly in the world of machine learning, so in this post we're going to build, train and test a neural network to classify images with PyTorch! We will be using the CIFAR-10 dataset (CIFAR stands for Canadian Institute for Advanced Research), and it's …

Weather affects every single human on earth for the better or worse, and we've come to rely on weather predictions in order to plan how we spend our day. But how can we predict the weather? In this post we're going to develop a machine learning model with recurrent neural …

Now that we've built & trained logistic regression and decision tree models to classify the iris dataset in these previous posts:

• Logistic Regression with PyTorch
• Decision Tree Classifiers in Python

We found that they were both really good in their own regard (potentially overfitting), but what if we had two models …