Subscribe to DSC Newsletter

I am developing face recogniser and in my data set there are 3000 different people each having around 40 different pictures. My question is, will my output layer have 3000 different classifications.

Views: 306

Reply to This

Replies to This Discussion

Ideally Yes, as you are trying to predict 3000 different classes (or people in your case). Your output layer should use "softmax" activation which will give you a probability of which class each input image belongs to.

Take a look at this very cool in-browser demo implementation of a CNN which classifies hand-written digit images. It may help you understand how the different layers work in sync with each other

https://cs.stanford.edu/people/karpathy/convnetjs/demo/mnist.html

Hope it helps...

RSS

Videos

  • Add Videos
  • View All

© 2019   Data Science Central ®   Powered by

Badges  |  Report an Issue  |  Privacy Policy  |  Terms of Service