CS 229 Project : Object ( Keyboard ) Identification in

ARE you ? CS 229 Final Project

CS 229 r Project - Graph Sparsification and Dimensionality Reduction Cameron

YoloFlow Real - time Object Tracking in Video CS 229 Course Project

We reimplement YOLO, a fast, accurate object detector, in TensorFlow. To perform inference, we leverage weights that were trained for over one week on GPUs using ImageNet data, a publicly-available dataset containing several million natural images. We demonstrate the ability to reproduce detections comparable with the original implementation. We learn the parameters of the network and compare m...

CS 229 = = Final Project Report SPEECH & NOISE SEPARATION

In this course project I investigated machine learning approaches on separating speech signals from background noise. Keywords—MFCC, SVM, noise separation, source separation, spectrogram

Spectral Learning of General Latent-Variable Probabilistic Graphical Models:A Supervised Learning Approach

In this CS 229 project, I designed, proved and tested a new spectral learning algorithm for learning probabilistic graphical models with latent variables by reducing the hard learning problem into a pipeline of supervised learning tasks. This new algorithmic framework can provide us with more learning power by giving us the freedom to plug in all different kinds of supervised learning algorithm...