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
Read about deconvolutional networks, which are distinct applications of AI that work like convolutional neural networks but in a reversed process.| 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
Learn what a neural network is, how it functions and the different types. Examine the pros and cons of neural networks as well as applications for their use.| Search Enterprise AI