tree: d313e0e1a77c6ca60038e95d9f11488fa8665d69 [path history] [tgz]
  1. README.md
  2. svm_mnist.py
example/svm_mnist/README.md

Use case with Support Vector Machine

To ensure that not only the implementation is learning, but is able to outsmart the softmax, as this article suggests, I ran svm_mnist.py script. It was based on the MNIST experiment description on the article and this tutorial.

To this you will need

I recommend installing matplot to visualize examples