Experiences Renting GPU Instances
I thought I’d share briefly some of our team’s recent experiences in renting time on GPUs for machine learning work.
Understanding the DeepLearnToolbox CNN Example
In this post, I provide a detailed description and explanation of the Convolutional Neural Network example provided in Rasmus Berg Palm’s DeepLearnToolbox for MATLAB. His example code applies a relatively simple CNN with 2 hidden layers and only 18 neurons to the MNIST dataset. The CNN’s accuracy is 98.92% on the test set, which seems very impressive to me given the small number of neurons.
What is an L2-SVM?
While reading through various deep learning research papers, I’ve come across the term “L2-SVM” a couple times.
Fast Euclidean Distance Calculation with Matlab Code
The Euclidean distance (also called the L2 distance) has many applications in machine learning, such as in K-Nearest Neighbor, K-Means Clustering, and the Gaussian kernel (which is used, for example, in Radial Basis Function Networks).
Gaussian Mixture Models Tutorial and MATLAB Code
You can think of building a Gaussian Mixture Model as a type of clustering algorithm. Using an iterative technique called Expectation Maximization, the process and result is very similar to k-means clustering. The difference is that the clusters are assumed to each have an independent Gaussian distribution, each with their own mean and covariance matrix.