Tensors & Machine Learning

When it comes to building neural network models, there’s a lot of factors to consider such as hyperparameter tuning, model architecture, whether to use a pre-trained model or not, and so on and so forth. While it’s true that these are all important aspects to consider, I would argue that proper understanding of data representations […]

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Hyper Parameter Tuning… What’s That?

The Rise of Deep Learning In the span of a few years, deep learning has taken the world by storm and has established itself as a very powerful tool under many applications such as image classification, anomaly detection, natural language processing, and much more. This became possible especially through the emergence of deep neural networks, […]

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Predicting Suicide Rates Using Linear Regression

Hi everyone! I’m taking an online deep learning with PyTorch course, which has turned out to be a really enjoyable experience. That being said, for our second assignment, our core focus was on building a Linear Regression model that predicts insurance charges. I sure finished that assignment. However, to spice things up a bit, I […]

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Exploring 5 PyTorch Functions

Hi everyone! I recently discovered a free, live-streamed 6-week PyTorch deep learning course on YouTube and decided to commit to it in the spare time that I have. The following is a copy of the Jupyter Notebook instance I wrote for the first assignment. This notebook can also be found on GitHub here. I hope […]

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Starting Projects the Right Way

It’s been a year now since I’ve started university and in that timespan, I have created many projects, some of which turned out successful and others with the exact opposite result. What that did teach me, however, is that there are certain common factors that sort’ve hint at whether a project is likely to succeed […]

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