An Alchemist’s Notes on Deep Learning — An Alchemist's Notes on Deep Learning
I have recently had the opportunity to spend lots of time learning with the excuse of pursing a PhD. These Alchemist’s Notes are a byproduct of that process. Each page contains notes and ideas related broadly to deep learning, generative modelling, and practical engineering. I’ve actually been writing these things since 2016 on my personal website, but this site should be a more put-together version. Who is this site for? For you, I hope. The ideal reader has at least an undergraduate-level understanding of machine learning, and is comfortable with Python. The rest you can figure out as you go. What do the contents look like? The main goal of these notes is to provide definitions and examples. I have found these to be the most critical bits to convey when introducing new concepts. Each page will give a brief overview and example implementation, then we will mostly be answering common questions. Wherever possible, we will utilize concrete code examples. This website is compiled from a s
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