This is the Linux app named NanoNeuron whose latest release can be downloaded as nano-neuronsourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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NanoNeuron
DESCRIPTION
Nano-Neuron is a didactic project that reduces the idea of a neuron to a handful of tiny JavaScript functions so learners can see “learning” in action without heavy frameworks. It demonstrates how a scalar input can be linearly transformed with a weight and bias, then adjusted via gradient updates to fit a simple mapping such as Celsius-to-Fahrenheit conversion. The code emphasizes readability over performance, inviting you to step through calculations and watch parameters converge. Because every concept is expressed in a few lines, it’s easy to tinker—change learning rates, swap cost functions, or visualize error curves. The repository bridges the gap between formulae and intuition by making each update transparent and observable. It’s ideal for absolute beginners who want to internalize core ideas before moving on to multi-layer networks and libraries.
Features
- Seven or so minimal functions that implement a learnable mapping
- Clear demonstration of weights, bias, loss, and gradient updates
- Simple targets like temperature conversion for intuitive results
- Pure JavaScript with no ML frameworks to obscure the math
- Easy to modify hyperparameters and visualize convergence
- Serves as a stepping stone to neural nets and deeper ML study
Programming Language
JavaScript
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/nanoneuron.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
