278 plain-language definitions from the TiorAI glossary, filed under Deep Learning & Neural Networks. Every entry opens with a one-sentence definition, then explains where the term is used.
A Variational Autoencoder (VAE) is a type of artificial neural network used for unsupervised learning that encodes input data into a compressed representation and then reconstructs it, allowing for data generation and feature learning.
VGGNet is a deep convolutional neural network architecture known for its simplicity and effectiveness in image classification tasks.
A Vision Transformer is a type of neural network architecture designed to process and understand visual data using transformer models.
VoxNet is a deep learning model designed for 3D object recognition using voxel-based data input.
