ViT (Vision Transformer) Implementation from Scratch with PyTorch! скачать в хорошем качестве

ViT (Vision Transformer) Implementation from Scratch with PyTorch!

Implementation of the Vision Transformer (https://arxiv.org/pdf/2010.11929v2.pdf) using PyTorch from scratch (almost)! I would recommend first studying the original Transformer paper () and looking at its implementation, since the Vision Transformer basically builds off of the original architecture but uses images instead of text, and then finally studying the Vision Transformer paper. Transformer explanation:    • "Attention Is All You Need" Paper Dee...   Transformer implementation:   • Transformer Implementation from Scrat...   Vision Transformer explanation:    • Vision Transformer (ViT) Paper Explan...   Here is my GitHub repo for this implementation: https://github.com/ahmadchalhoub/rese... Please feel free to leave any feedback, corrections, or questions that you might have! Outline: 0:00 - Introduction 3:24 - Imports and Hyperparameters 9:40 - Input Layer: Patchifying, Linear Projection, and Positional Encoding 25:36 - Encoder 36:30 - Vision Transformer