Programming exercises for the Stanford Unsupervised Feature Learning and Deep Learning Tutorial
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Updated
Sep 25, 2013 - MATLAB
Programming exercises for the Stanford Unsupervised Feature Learning and Deep Learning Tutorial
A neural network toolbox for matlab
Adversarial training for CNN using MNIST
(Biological) Cell Proposal Network for Microscopy Image Analysis
A comparison of RCN/CNN/SVM/KNN on EMNIST-letters dataset
3-Class Retinal Classification via Deep Network Features and SVM Classifier (Academic Research Use)
The repository implements the a simple Convolutional Neural Network (CNN) from scratch for image classification. I experimented with it on MNIST digits and COIL object dataset.
Efficient Diffusion on Region Manifolds: Recovering Small Objects with Compact CNN Representations
Character recognition from live feed using OpenCV(python) and CNN(octave)
Digit recognition in MATLAB and python using a CNN on MNIST dataset
Implementation code of the paper "Deep Fully Convolutional Regression Networks for Single Image Haze Removal"
Fuse the multiple images with different exposure
repo for Hackathon "Hack the Indian River Lagoon"
Convolutional Neural Netowork for Independent Component Classificaiton
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