All Projects → GantMan → Rps_tfjs_demo

GantMan / Rps_tfjs_demo

Training a Rock Paper Scissors model in the browser via TFJS - Learn along style

Programming Languages

javascript
184084 projects - #8 most used programming language

Projects that are alternatives of or similar to Rps tfjs demo

Deeplearning
深度学习入门教程, 优秀文章, Deep Learning Tutorial
Stars: ✭ 6,783 (+9453.52%)
Mutual labels:  machinelearning
Datastream.io
An open-source framework for real-time anomaly detection using Python, ElasticSearch and Kibana
Stars: ✭ 814 (+1046.48%)
Mutual labels:  machinelearning
Ludwig
Data-centric declarative deep learning framework
Stars: ✭ 8,018 (+11192.96%)
Mutual labels:  machinelearning
Nudenet
Neural Nets for Nudity Detection and Censoring
Stars: ✭ 642 (+804.23%)
Mutual labels:  machinelearning
Ai Series
📚 [.md & .ipynb] Series of Artificial Intelligence & Deep Learning, including Mathematics Fundamentals, Python Practices, NLP Application, etc. 💫 人工智能与深度学习实战,数理统计篇 | 机器学习篇 | 深度学习篇 | 自然语言处理篇 | 工具实践 Scikit & Tensoflow & PyTorch 篇 | 行业应用 & 课程笔记
Stars: ✭ 702 (+888.73%)
Mutual labels:  machinelearning
Neuropod
A uniform interface to run deep learning models from multiple frameworks
Stars: ✭ 858 (+1108.45%)
Mutual labels:  machinelearning
Monk v1
Monk is a low code Deep Learning tool and a unified wrapper for Computer Vision.
Stars: ✭ 480 (+576.06%)
Mutual labels:  machinelearning
Artos
Adaptive Real-Time Object Detection System with HOG and CNN Features
Stars: ✭ 64 (-9.86%)
Mutual labels:  machinelearning
Vaex
Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualize and explore big tabular data at a billion rows per second 🚀
Stars: ✭ 6,793 (+9467.61%)
Mutual labels:  machinelearning
Hardhat Detector
A convolutional neural network implementation of a script that detects whether an individual is wearing a hardhat or not.
Stars: ✭ 41 (-42.25%)
Mutual labels:  machinelearning
Nsfw model
Keras model of NSFW detector
Stars: ✭ 667 (+839.44%)
Mutual labels:  machinelearning
Deeplearningmugenknock
でぃーぷらーにんぐを無限にやってディープラーニングでDeepLearningするための実装CheatSheet
Stars: ✭ 684 (+863.38%)
Mutual labels:  machinelearning
Machine learning
The homework of my 3rd-term
Stars: ✭ 29 (-59.15%)
Mutual labels:  machinelearning
Machinelearning
My blogs and code for machine learning. http://cnblogs.com/pinard
Stars: ✭ 5,984 (+8328.17%)
Mutual labels:  machinelearning
Algorithmmap
建立你的算法地图:如何高效学习算法;算法工程师:从小白到专家
Stars: ✭ 47 (-33.8%)
Mutual labels:  machinelearning
Nsfwjs
NSFW detection on the client-side via TensorFlow.js
Stars: ✭ 5,223 (+7256.34%)
Mutual labels:  machinelearning
Model Describer
model-describer : Making machine learning interpretable to humans
Stars: ✭ 22 (-69.01%)
Mutual labels:  machinelearning
Gorse
An open source recommender system service written in Go
Stars: ✭ 1,148 (+1516.9%)
Mutual labels:  machinelearning
25daysinmachinelearning
I will update this repository to learn Machine learning with python with statistics content and materials
Stars: ✭ 53 (-25.35%)
Mutual labels:  machinelearning
Letslearnai.github.io
Lets Learn AI
Stars: ✭ 33 (-53.52%)
Mutual labels:  machinelearning

Tensorflow JS - Rock Paper Scissors

rps header logo Netlify Status

DEMO: https://rps-tfjs.netlify.com/

BLOG: https://heartbeat.fritz.ai/using-tensorflow-js-to-train-a-rock-paper-scissors-model-b5f393b548eb

This project was bootstrapped with Create React App.

Available Scripts

In the project directory, you can run:

npm start

Runs the app in the development mode.
Open http://localhost:3000 to view it in the browser.

The page will reload if you make edits.
You will also see any lint errors in the console.

npm test

Launches the test runner in the interactive watch mode.
See the section about running tests for more information.

npm run build

Builds the app for production to the build folder.
It correctly bundles React in production mode and optimizes the build for the best performance.

The build is minified and the filenames include the hashes.
Your app is ready to be deployed!

See the section about deployment for more information.

npm run eject

Note: this is a one-way operation. Once you eject, you can’t go back!

If you aren’t satisfied with the build tool and configuration choices, you can eject at any time. This command will remove the single build dependency from your project.

Instead, it will copy all the configuration files and the transitive dependencies (Webpack, Babel, ESLint, etc) right into your project so you have full control over them. All of the commands except eject will still work, but they will point to the copied scripts so you can tweak them. At this point you’re on your own.

You don’t have to ever use eject. The curated feature set is suitable for small and middle deployments, and you shouldn’t feel obligated to use this feature. However we understand that this tool wouldn’t be useful if you couldn’t customize it when you are ready for it.

Learn More

You can learn more in the Create React App documentation.

To learn React, check out the React documentation.

Code Splitting

This section has moved here: https://facebook.github.io/create-react-app/docs/code-splitting

Analyzing the Bundle Size

This section has moved here: https://facebook.github.io/create-react-app/docs/analyzing-the-bundle-size

Making a Progressive Web App

This section has moved here: https://facebook.github.io/create-react-app/docs/making-a-progressive-web-app

Advanced Configuration

This section has moved here: https://facebook.github.io/create-react-app/docs/advanced-configuration

Deployment

This section has moved here: https://facebook.github.io/create-react-app/docs/deployment

npm run build fails to minify

This section has moved here: https://facebook.github.io/create-react-app/docs/troubleshooting#npm-run-build-fails-to-minify

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].