s01-p09: Implementing Vision Transformer (ViT) from Scratch in PyTorch | CS4CV

Course: Computer Science for Computer Vision Channel: @CS4CV (   / @cs4cv  ) Playlist: Section 1 – Attention Mechanisms & Transformers (   • CS4CV Section 01: Attention Mechanisms & T...  ) In this lecture from the Computer Science for Computer Vision course, we implement a Vision Transformer (ViT) from scratch using PyTorch. In this hands-on lecture, we focus on the implementation of the main components of a Vision Transformer and see how an image can be transformed into a sequence of patch embeddings and processed by a Transformer-based architecture. Topics covered include: • Vision Transformer implementation • Patch Embeddings • Image-to-patch representation • Positional Embeddings • Transformer Encoder • ViT architecture in PyTorch • Building ViT components from scratch • Image classification with Vision Transformer This lecture is designed to complement the theoretical discussion of Vision Transformers with a practical implementation in PyTorch. #VisionTransformer #ViT #PyTorch #ComputerVision #DeepLearning #Transformers #MachineLearning #ArtificialIntelligence #AI #Coding #FromScratch #NeuralNetworks