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Styles of machine learning: Intro to neural networks

Modeled on the human brain, neural networks are one of the most common styles of machine learning. Get started with the basic design and concepts of artificial neural networks. Artificial intelligence ...

AI Collaborative Learning: Understanding Deep Learning Chapter 7 - The Dual Art of Backpropagation and Initialization in AI's 'Neural Hub'

In the previous chapter, we learned various strategies to guide AI models 'down the mountain' (optimization algorithms), such ...
Visual Studio Magazine

Neural Regression Using PyTorch: Defining a Network

Dr. James McCaffrey of Microsoft Research presents the second of four machine learning articles that detail a complete end-to-end production-quality example of neural regression using PyTorch. The ...
Semiconductor Engineering

How Neural Super Sampling Works: Architecture, Training, And Inference

In 540p-to-1080p comparisons, NSS improves stability and detail retention. It performs well in scenes with fast motion, ...
Visual Studio Magazine

Neural Network Quantile Regression Using C#

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of neural network quantile regression. The goal of a quantile regression problem is to predict a single numeric ...