tree: e324b45a349a1375098595d60d07f7b22dcce046 [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