A perceptron is a simple model of a biological neuron used in an artificial neural network. Learn about its role as a machine learning building block.| WhatIs
Learn how regression in machine learning helps organizations make predictions and sound decisions by revealing the relationships between variables.| Search Enterprise AI
Transformer neutral networks were a key advance in natural language processing. Learn what transformers are, how they work and their role in generative AI.| Search Enterprise AI
Learn about how recurrent neural networks are suited for analyzing sequential data -- such as text, speech and time-series data.| Search Enterprise AI
Learn the inner workings of machine vision and its various types. Explore the use cases for machine vision, and learn what sets it apart from computer vision.| Search Enterprise AI
Learn what generative adversarial networks are and how they're used. Explore the different types of GANs as well as the future of this technology.| Search Enterprise AI
Learn about CNNs, how they work, their applications, and their pros and cons. This definition also covers how CNNs compare to RNNs.| Search Enterprise AI
Learn how a backpropagation algorithm enhances neural networks. Examine how they work, their objectives and their history.| Search Enterprise AI