Skip to content
#

hinge-loss

Here are 15 public repositories matching this topic...

The goal of this project is to design a classifier to use for sentiment analysis of product reviews. Our training set consists of reviews written by Amazon customers for various food products. The reviews, originally given on a 5 point scale, have been adjusted to a +1 or -1 scale, representing a positive or negative review, respectively.

  • Updated Jul 8, 2021
  • Python

Neural Network implemented with different Activation Functions i.e, sigmoid, relu, leaky-relu, softmax and different Optimizers i.e, Gradient Descent, AdaGrad, RMSProp, Adam. You can choose different loss functions as well i.e, cross-entropy loss, hinge-loss, mean squared error (MSE)

  • Updated Aug 15, 2022
  • Jupyter Notebook

Improve this page

Add a description, image, and links to the hinge-loss topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the hinge-loss topic, visit your repo's landing page and select "manage topics."

Learn more