GithubHelp home page GithubHelp logo

Comments (3)

lenck avatar lenck commented on May 2, 2024 8

Hi, when you train a model, as a last layer there is usually the softmaxloss which is a softmax followed by logistic loss - the loss which is being optimized. But in order to compute the loss, it needs the ground truth in net.layers{end}.class which is passed as the second parameter in vl_simplenn to vl_nnsoftmaxloss.

However, in general when you want to obtain only class probabilities, you simply change the last layer type to:

net.net.layers{end}.type = 'softmax';

And now your call of vl_simplenn should work...

from matconvnet.

StevenLOL avatar StevenLOL commented on May 2, 2024

Thanks, the best CNN toolkit ever.

from matconvnet.

rng1995 avatar rng1995 commented on May 2, 2024

Where should place the command
net.net.layers{end}.type = 'softmax'; ? Is it in cnn_cifar.m file or cnn_cifar_init.m or vl_simplenn.m file ?

from matconvnet.

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.