Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

Awesome Lists | Featured Topics | Projects

https://github.com/manoharvit/digits-recognition-system-using-machinelearning

The approach and dataset determines the system's accuracy and efficiency. For handwritten digit recognition, this paper provides a reasonable overview of machine and deep learning techniques such as SVM (Support Vector Machine), CNN (Convolutional Neural Network), and KNN (K Nearest Neighbor). It also shows which algorithm is the most effective at doing digit recognition. It also provides a comparison among different algorithms based on their accuracy, so that the most accurate method with the minimum errors can be used in distinct handwritten digit recognition applications.
https://github.com/manoharvit/digits-recognition-system-using-machinelearning

Last synced: about 2 months ago
JSON representation

The approach and dataset determines the system's accuracy and efficiency. For handwritten digit recognition, this paper provides a reasonable overview of machine and deep learning techniques such as SVM (Support Vector Machine), CNN (Convolutional Neural Network), and KNN (K Nearest Neighbor). It also shows which algorithm is the most effective at doing digit recognition. It also provides a comparison among different algorithms based on their accuracy, so that the most accurate method with the minimum errors can be used in distinct handwritten digit recognition applications.

Awesome Lists containing this project