SVM

AI Deep Learning

Deep Networks Are Kernel Machines

Yannic Kilcher explains the paper “Every Model Learned by Gradient Descent Is Approximately a Kernel Machine.” Deep Neural Networks are often said to discover useful representations of the data. However, this paper challenges this prevailing view and suggest that rather than representing the data, deep neural networks store superpositions of the training data in their […]

Read More
AI Data Science Machine Learning

Great Support Vector Machine Explanation

Here’s a great explainer video that walks through the Support Vector Machine (SVM) algorithm. From the video description: A Support Vector Machine (SVM) is a discriminative classifier formally defined by a separating hyperplane. In other words, given labeled training data (supervised learning), the algorithm outputs an optimal hyperplane which categorizes new examples. To understand SVM’s […]

Read More
AI Data Science

How Support Vector Machines Work

The great Brandon Rohrer explains how Supoort Vector Machines (SVMs) work in this video tutorial.

Read More