ABOUT UNSUPERVISED LEARNING In supervised learning problems, we deal with labeled data, means during the training process, we give our machine both Xs and Ys, by training, we ‘forge’ a system, which given new Xs, it is able to guess the output Ys. By using better algorithm and sophisticated methods, we can make the forged system […]

### Tag Cloud

active contour Algorithm alpha beta pruning Armadillo Bilateral Filter Blur C++ camShift Cluster CNN Computer Vision Convolutional Neural Networks Deep Learning deep network Dynamic Programming Gradient Descent image blending Image Processing image pyramid LeetCode Machine Learning Matlab meanShift MNIST neural networks NLP Octave OpenCV Panorama PCA Poisson blending Pooling pyramid blending RANSAC Recurrent Neural Networks RNNs seam carving SIFT snake Softmax Sparse Autoencoder track UFLDL Unsupervised Learning ZCA### Pages

### Categories

### Archives