hunar4321/RLS-neural-net
Recursive Leasting Squares (RLS) with Neural Network for fast learning
This project helps operations engineers and data scientists quickly update linear models with new information without re-calculating everything from scratch. You input your existing data and new observations, and it outputs an updated model that reflects the latest information, ideal for real-time adjustments. It's for anyone who needs to adapt models continuously as new data arrives.
No commits in the last 6 months.
Use this if you need to rapidly adjust a linear model or a single-layer neural network in real-time as new data streams in, like in an online learning scenario.
Not ideal if your input data is very large, if you require deep multi-layered neural networks, or if numerical stability is your absolute highest priority.
Stars
58
Forks
9
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Nov 16, 2023
Commits (30d)
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