Git Product home page Git Product logo

Comments (4)

franciumlee avatar franciumlee commented on May 9, 2024

I stongely agree with you. And I have a simialr problem. So, I think I need to modify the CNN model.....

from bosssensor.

Donny-Hikari avatar Donny-Hikari commented on May 9, 2024

I find out that if you increase epoch to about 600, the accuracy will increases largely.
Also, I am agree that adding some more layers to the CNN model will help.
I have made a project called FaceLock inspired by this project. And the accuracy is acceptable.
Check it out on https://github.com/Donny-Hikari/FaceLock

from bosssensor.

wiwengweng avatar wiwengweng commented on May 9, 2024

I recently use Donny's model, which works more effective. 💯

from bosssensor.

SCYtelils avatar SCYtelils commented on May 9, 2024

After training for about 40 times,the accuracy is stable at 0.88.

from bosssensor.

Related Issues (20)

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.