👋 Welcome

Hi, I’m Liam, a student on a journey to understand the world through machine learning, coding, data science, and mathematics.

This blog is my digital lab notebook — a place where I explain what I’m learning, work through complex topics, and share insights that might help others learning too.

Whether you’re just starting out or deep into the field, I hope you find something useful here.

🧠 Why I blog

Writing is thinking. By distilling ideas into blog posts, I’m aiming to:

Deepen my understanding of technical topics.
Build a consistent habit of learning and reflection.
Create a public portfolio of work as I grow in this field.

📬 Recent posts

Day 4 - PyTorch Basics: Building and Training a Neural Network

Learn how to use torch.nn to build the neural network structure, and how to train the model to recognize images, using a training and evaluation loop. It assumes you are…

Liam Groen

May 11, 2025

Day 3: Pytorch Basics - Transforms

Data comes in many different formats. On the other hand, PyTorch can only do machine learning with one data type, the tensor. Transforms can convert any data to a tensor. In…

Liam Groen

May 10, 2025

Day 2: PyTorch Basics - Dataset and DataLoader

In this post we learn about how to download datasets with PyTorch Datasets, and how to retrieve data from them for training an ML model while keeping data and model…

Liam Groen

May 9, 2025

Day 1: Pytorch Basics - Tensors

Tensors lie at the heart of PyTorch. If we want to be proficient in PyTorch, we need to know what we can do with the Tensor object. There are over 1200 possible operations…

Liam Groen

May 8, 2025

Backpropagation: How Does Your Computer Calculate Gradients?

How backpropagation is used to compute gradients in neural networks, using computational graphs and the chain rule.

Liam Groen

Apr 20, 2025