Git Product home page Git Product logo

Comments (2)

juanmc2005 avatar juanmc2005 commented on June 17, 2024

@hbredin I didn't tune it, I found an example for MNIST that worked well with s=7.0, but I will have to modify it for the other tasks.
I understand it's just a scaling factor applied to the difference between the cosines with and without the margin, so my guess is that a bigger scaling will give more importance to small errors.
But again, I'm not certain of this, and I should check the effect of changing it

from similaritylearning.

hbredin avatar hbredin commented on June 17, 2024

Thanks. This was also my understanding...

I don't like having too many hyper-parameters...
margin is probably already quite sensitive...

from similaritylearning.

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.