GitHub topics: learning-algorithms-comparison
harismuneer/Handwritten-Digits-Classification-Using-KNN-Multiclass_Perceptron-SVM
🏆 A Comparative Study on Handwritten Digits Recognition using Classifiers like K-Nearest Neighbours (K-NN), Multiclass Perceptron/Artificial Neural Network (ANN) and Support Vector Machine (SVM) discussing the pros and cons of each algorithm and providing the comparison results in terms of accuracy and efficiecy of each algorithm.
Language: Python - Size: 13 MB - Last synced at: about 1 month ago - Pushed at: 5 months ago - Stars: 62 - Forks: 18
Related Keywords
accuracy-analysis
1
artificial-neural-network
1
comparative-study
1
delta-rule
1
efficiency-analysis
1
handwritten-digit-recognition
1
k-nearest-neighbours
1
knn
1
learning-algorithms-comparison
1
logistic-regression
1
machine-learning-algorithms
1
mnist-classification-logistic
1
mnist-dataset
1
multiclass-perceptron
1
perceptron-learning-algorithm
1
sigmoid-function
1
supervised-machine-learning
1
support-vector-classifier
1
support-vector-machines
1
svm
1