PyTorch Deep Dive
Finding all relevant resources to get started with deep learning can get hard. Knowing what to learn, and where to learn it from, is a task in itself.
In this book, it is my intention to curate and collect relevant resources. If and only if there is insufficient documentation on a topic, or if it could be benefitted with some examples, will I add anything of my own.
This is not a comprehensive tutorial series. It’s more for exising practitioners looking to be pointed towards the right knowledge to fill in gaps.
DISCLAIMER: To keeps things clean and orderly, I use AI summarisers on my rough notes. The research, rough notes, were all written by me, only the final summary was cleaned up.
Topics we are covering¶
The order is intentional. Only move from one topic to another if you feel you are comfortable with it.