xRBMImplementation of Restricted Boltzmann Machine (RBM) and its variants in Tensorflow
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.
MNISTHandwritten digit recognizer using a feed-forward neural network and the MNIST dataset of 70,000 human-labeled handwritten digits.
MNIST-cnnConvolutional neural networks with Python 3
amrOfficial adversarial mixup resynthesis repository
Hand-Digits-RecognitionRecognize your own handwritten digits with Tensorflow, embedded in a PyQT5 GUI. The Neural Network was trained on MNIST.
mnist-drawDraw and classify digits (0-9) in a browser using machine learning