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 blog.vstelt.dev
Writing a Neural Network from Scratch in Rust
| | explog.in
A Simple Neural Network (<200loc, rust)
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| | [AI summary] The user has shared a detailed implementation of a single-layer neural network in Rust, along with its training and evaluation process. They also provided the Cargo.toml file for the project and mentioned the results of running the code. The user is seeking feedback, comments, or suggestions for improvement, and they have included a note about the history of the project.
| | vankessel.io
Introduction to Neural Networks | Kara van Kessel
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| | A blog for my thoughts. Mostly philosophy, math, and programming.
| | golb.hplar.ch
Building a simple neural network with Java and JavaScript
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| | [AI summary] The blog post details the author's experience implementing a feedforward neural network for digit recognition using Java and JavaScript, explaining the underlying algorithms, shared external libraries, and architectural decisions while reviewing an introductory book on the topic.
| | blog.fastforwardlabs.com
"Hello world" in Keras (or, Scikit-learn versus Keras)
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| This article is available as a notebook on Github. Please refer to that notebook for a more detailed discussion and code fixes and updates. Despite all the recent excitement around deep learning, neural networks have a reputation among non-specialists as complicated to build and difficult to interpret. And while interpretability remains an issue, there are now high-level neural network libraries that enable developers to quickly build neural network models without worrying about the numerical details of floating point operations and linear algebra.