Go Neural Network Implementation
A feed-forward neural network implementation in Go with support for multiple activation functions, model persistence, and an interactive TUI.
Software Engineer & Web Developer with over 20 years of experience.
I enjoy the problem-solving aspect of software development and am always looking for new challenges. I also hold advanced degrees in theology and linguistics, and my major hobby is music (I'm a guitar player).
A feed-forward neural network implementation in Go with support for multiple activation functions, model persistence, and an interactive TUI.
A look into hash tables, using a C implementation as an example, and an explanation of the memory-saving '2-bit bookkeeping' technique.
"Why don't scientists trust atoms? Because they make up everything!"
Submitted by: Andrew S Erwin
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