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title: Mnist4All | ||
type: series | ||
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Mnist4All is a series where I implement an [MNIST](https://en.wikipedia.org/wiki/MNIST_database) classifier neural net in various languages, | ||
libraries, and with different levels of abstraction. | ||
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1. Python - built on `numpy` - closely follows my mental model for deep learning - | ||
outlines the base structure which other implementations will reproduce. | ||
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2. C - only using standard library - implements tensor from scratch - zero-copy reshape - it's *a lot* slower than `numpy` |
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title = 'C' | ||
date = 2024-08-02T09:41:09-07:00 | ||
draft = true | ||
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