About
About Gradient Surfing
Gradient Surfing is an independent ML blog about learning by building, measuring, and explaining.
Posts pair an idea with its experiment whenever possible: the implementation, configuration, figures, and a clear account of what worked (and what did not).
The site is published from the same repository that contains the experiments, so each post has a durable, inspectable home.