Replicating Machine Learning Research

An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale (ViT paper)

To understand the process of paper replication

It uses the attention mechanism as its primary learning layer

<p>Transformer architecture = A neural network that uses the attention mechanism as its primary learning layer Vision Transformer (ViT) = An adaptation of the original Transformer architecture to vision problems PyTorch = A machine learning library used in the replication of the ViT paper FoodVision Mini = The application to which the ViT architecture is applied in the text</p> Signup and view all the answers

<p>An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale = Introduced the Vision Transformer (ViT) Attention is all you need = Introduced the original Transformer architecture</p> Signup and view all the answers

<p>One-dimensional (1D) sequences of text = The type of data the original Transformer architecture was designed to work on Vanilla Vision Transformer = The original Vision Transformer, which has been through several iterations</p> Signup and view all the answers

<p>Vision Transformer (ViT) = Adapted for vision problem(s) Original Transformer = Designed to work on one-dimensional (1D) sequences of text</p> Signup and view all the answers

<p>Replicating a paper = The process of recreating the work described in a research paper Classification = A type of vision problem the Vision Transformer (ViT) was designed to address</p> Signup and view all the answers

<p>Convolution = Primary learning layer of a Convolutional Neural Network (CNN) Attention mechanism = Primary learning layer of a Transformer</p> Signup and view all the answers

<p>Machine learning research paper = A scholarly article introducing new findings in the field of machine learning Neural network = A computing system inspired by the human brain, used in machine learning</p> Signup and view all the answers

<p>Convolutional Neural Network (CNN) = A type of neural network that uses convolutions as its primary learning layer Vision Transformer (ViT) = A type of Transformer architecture adapted for vision problems</p> Signup and view all the answers

<p>Vanilla Vision Transformer = The original Vision Transformer, before any iterations FoodVision Mini = The project to which the ViT architecture is applied in the text</p> Signup and view all the answers