{"id":18614830,"url":"https://github.com/andrewjbateman/tensorflow-notepad","last_synced_at":"2026-05-07T10:32:57.425Z","repository":{"id":42222559,"uuid":"163196053","full_name":"AndrewJBateman/Tensorflow-Notepad","owner":"AndrewJBateman","description":":clipboard: Notepad to create code for learning 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:zap: TensorFlow Notepad\n\n* Code to experiment with machine learning, shuffling data using a seed phrase.\n* Uses TensorFlow in javascript, following Udemy Course [Machine Learning With Javascript].\n\n*** Note: to open web links in a new window use: _ctrl+click on link_**\n\n## :page_facing_up: Table of contents\n\n* [:zap: TensorFlow Notepad](#zap-tensorflow-notepad)\n  * [:page_facing_up: Table of contents](#page_facing_up-table-of-contents)\n  * [:books: General info](#books-general-info)\n  * [:camera: Screenshots](#camera-screenshots)\n  * [:signal_strength: Technologies](#signal_strength-technologies)\n  * [:floppy_disk: Setup](#floppy_disk-setup)\n  * [:computer: Code Examples](#computer-code-examples)\n  * [:cool: Features](#cool-features)\n  * [:clipboard: Status \u0026 To-Do List](#clipboard-status--to-do-list)\n  * [:clap: Inspiration](#clap-inspiration)\n  * [:envelope: Contact](#envelope-contact)\n\n## :books: General info\n\n* \"_TensorFlow.js is an open-source hardware-accelerated JavaScript library for training and deploying machine learning models._\"\n\n## :camera: Screenshots\n\n![Example screenshot](./img/.png)\n\n## :signal_strength: Technologies\n\n* [TensorFlow.js](https://js.tensorflow.org/), an open-source hardware-accelerated JavaScript library for training and deploying machine learning models.\n* [@tensorflow/tfjs-node v2](https://www.npmjs.com/package/@tensorflow/tfjs-node).\n* [node.js v12 LTS](https://nodejs.org)\n* [Lodash v4](https://lodash.com/), a modern JavaScript utility library delivering modularity, performance \u0026 extras. It has lots of methods but is slow.\n* [Javascript playground](https://stephengrider.github.io/JSPlaygrounds/), a sandbox for writing javascript code and seeing the result on the right.\n\n## :floppy_disk: Setup\n\n* type `node load-csv.js` in console terminal to see any console.logs.\n* It was necessary to install Python on my PC for this to compile.\n* Use 'chrome://inspect/#devices' in browser to run in Chrome developer tools.\n\n## :computer: Code Examples\n\n* result of typing: `node load-csv.js`\n\n```javascript\nFeatures [ [ 10, 20 ], [ 12, 22 ], [ 11, 21 ] ]\nLabels [ [ 1 ], [ 1 ], [ 0 ] ]\ntestFeatures undefined\ntestLabels undefined\n```\n\n## :cool: Features\n\n* to follow\n\n## :clipboard: Status \u0026 To-Do List\n\n* Status: returns Features and Labels but testFeatures and testLabels undefined - see Code Example\n* To-Do: Run again and correct data.\n\n## :clap: Inspiration\n\nCode from Udemy Course [Machine Learning With Javascript](https://www.udemy.com/machine-learning-with-javascript/learn/lecture/12355012#overview) section 183, 184.\n\n## :envelope: Contact\n\n* Repo created by [ABateman](https://www.andrewbateman.org) - you are welcome to [send me a message](https://andrewbateman.org/contact)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fandrewjbateman%2Ftensorflow-notepad","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fandrewjbateman%2Ftensorflow-notepad","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fandrewjbateman%2Ftensorflow-notepad/lists"}