# teachable-machine-v1

**Repository Path**: hmcloud/teachable-machine-v1

## Basic Information

- **Project Name**: teachable-machine-v1
- **Description**: 探索生活在浏览器中的机器学习的工作原理。无需编码.TensorFlow
- **Primary Language**: Unknown
- **License**: Apache-2.0
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 1
- **Forks**: 2
- **Created**: 2020-03-14
- **Last Updated**: 2025-04-09

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Teachable Machine 
## About
Teachable Machine is an experiment that makes it easier for anyone to explore machine learning, live in the browser – no coding required. Learn more about the experiment and try it yourself on [g.co/teachablemachine](https://g.co/teachablemachine). 

The experiment is built using the [TensorFlow.js](https://js.tensorflow.org/) library.

We have also released a boilerplate version of this project that can be used as a starting point for your own projects: [googlecreativelab/teachable-machine-boilerplate](https://github.com/googlecreativelab/teachable-machine-boilerplate)

## Development
#### Install dependencies by running (similar to `npm install`)
```
yarn
```

#### Build project
```
yarn build
```

#### Start local server by running 
```
yarn run watch
```

#### Code Styles
- There’s a pre-commit hook set up that will prevent commits when there are errors
- Run `yarn eslint` for es6 errors & warnings
- Run `yarn stylint` for stylus errors & warnings

#### To run https locally:
https is required to get camera permissions to work when not working with `localhost`

1. Generate Keys
```
openssl genrsa -out server.key 2048
openssl req -new -x509 -sha256 -key server.key -out server.cer -days 365 -subj /CN=YOUR_IP
```
2. Use `yarn run watch-https`
3. Go to `https://YOUR_IP:3000`, then accept the insecure privacy notice, and proceed.

## Credit
This is not an official Google product, but an experiment that was a collaborative effort by friends from [Støj](http://stoj.io/), [Use All Five](https://useallfive.com/) and Creative Lab and [PAIR](https://ai.google/pair/) teams at Google.