https://github.com/cawfree/mnist-dataset

✍️ Yann LeCun's MNIST handwritten digit dataset, made available to Node.js.
https://github.com/cawfree/mnist-dataset

dataset deep digit handwriting handwritten learning mnist network neural number

Last synced: 12 days ago
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✍️ Yann LeCun's MNIST handwritten digit dataset, made available to Node.js.

• Host: GitHub
• URL: https://github.com/cawfree/mnist-dataset
• Owner: cawfree
• License: mit
• Created: 2020-02-04T23:29:30.000Z (almost 5 years ago)
• Default Branch: master
• Last Pushed: 2020-02-05T00:41:53.000Z (almost 5 years ago)
• Last Synced: 2024-09-16T01:04:52.885Z (2 months ago)
• Topics: dataset, deep, digit, handwriting, handwritten, learning, mnist, network, neural, number
• Language: JavaScript
• Size: 94.7 KB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# mnist-dataset

✍️ Yann LeCun's MNIST handwritten digit dataset, made available to Node.js. This library contains all of the utilities you need to download and parse the raw unfiltered dataset, which is expressed as JSON arrays. It uses [fs](https://nodejs.org/api/fs.html) to cache to your system's [`tmpdir()`](https://nodejs.org/api/os.html#os_os_tmpdir) so that you don't have to keep downloading the dataset between successive executions of your software.



    











  



## 🚀 Getting Started

Using [`npm`]():

```bash

npm install --save mnist-dataset

```

Using [`yarn`]():

```bash

yarn add mnist-dataset

```

## ✍️ Usage

```javascript

import { cache, trainingImagesUrl, trainingLabelsUrl } from 'mnist-dataset';

(

  async () => {

    const trainingImages = await cache(trainingImagesUrl); // [[Number]] (i.e. [[0, 0, 0, ...], [0, 0, 0, ...], ...])

    const trainingLabels = await cache(trainingLabelsUrl); // [[Number]] (i.e. [[7], [2], ...])

    const toString = e =>

      [...Array(28)]

        .map((_, i) =>

          [...Array(28)].map((_, j) => (e[i * 28 + j] > 128 ? "#" : " ")).join("")

        )

        .join("\n");

    const [number7] = trainingImages;

    console.log(toString(number7));

  }

)();

```

## ✌️ License

[MIT](https://opensource.org/licenses/MIT)