Digit recognition using deep learning (convolutional neural networks)
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Updated
Dec 10, 2014 - MATLAB
Digit recognition using deep learning (convolutional neural networks)
Digit Recognition using backpropagation algorithm on Artificial Neural Network with MATLAB. Dataset used from MNSIT.
Digit recognition in MATLAB and python using a CNN on MNIST dataset
Includes the work done within the course Image Analysis, which covers the following topics: SIFT Descriptor, Learning and Convolutional Neural Networks, Image Registration, Triangulation and Digit Recognition in Scale Space.
IN4085 : Pattern Recognition - Final Assignment
Machine Learning using Matlab
Automatic Classification of handwritten digit images via SVD decomposition
Still under development. For most recent update, please go to 'dev' branch.
Four utterances of 10 digits sampled at 8 kHz from each of 4 male speakers are provided. A template based digit recognition is developed with the help of k-means algorithm.
MATLAB digit classifier based on Andrew NG course
Training an artificial neural network using back-propagation on MNIST dataset
Hand-written digit recognition on MNIST dataset
Persian Handwritten Digit Recognition using Particle Swarm Optimization-based K-Means Clustering and Probabilistic Neural Network
A demonstration of Neural Network and Support Vector Machine based classifier for digit recognition on the MNIST dataset.
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