Machine learning with deep neural techniques has advanced quickly, so Dr. James McCaffrey of Microsoft Research updates regression techniques and best practices guidance based on experience over the past two years.
Because machine learning with deep neural techniques has advanced quickly, our resident data scientist updates binary classification techniques and best practices based on experience over the past two years.
Multi-Class Classification Using PyTorch: Defining a Network
Dr. James McCaffrey of Microsoft Research explains how to define a network in installment No. 2 of his four-part series that will present a complete end-to-end production-quality example of multi-class classification using a PyTorch neural network.
12/15/2020 The goal of a multi-class classification problem is to predict a value that can be one of three or more possible discrete values, such as red, yellow or green for a traffic signal. This article is the second in a series of four articles that present a complete end-to-end production-quality example of multi-class classification using a PyTorch neural network. The example problem is to predict a college student s major ( finance, geology or history ) from their sex, number of units completed, home state and score on an admission test.