Skip to content
#

nn-predictive-control

Here are 2 public repositories matching this topic...

Problems Identification: This project involves the implementation of efficient and effective KNN classifiers on MNIST data set. The MNIST data comprises of digital images of several digits ranging from 0 to 9. Each image is 28 x 28 pixels. Thus, the data set has 10 levels of classes.

  • Updated Oct 30, 2017
  • Jupyter Notebook

Improve this page

Add a description, image, and links to the nn-predictive-control 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 nn-predictive-control topic, visit your repo's landing page and select "manage topics."

Learn more