Document Clustering Example in SciKit-Learn
I’ve spent some time playing with the document clustering example in scikit-learn and I thought I’d share some of my results and insights here for anyone interested.
I’ve spent some time playing with the document clustering example in scikit-learn and I thought I’d share some of my results and insights here for anyone interested.
In this post, I’m providing a brief tutorial, along with some example Python code, for applying the MinHash algorithm to compare a large number of documents to one another efficiently.
I thought I’d share briefly some of our team’s recent experiences in renting time on GPUs for machine learning work.
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.
While reading through various deep learning research papers, I’ve come across the term “L2-SVM” a couple times.