Vision Transformer (ViT) Implementation In TensorFlow скачать в хорошем качестве

Vision Transformer (ViT) Implementation In TensorFlow

In this video, we will implement the Vision Transformer (ViT) from scratch in the TensorFlow framework using the Keras API. Vision transformer (ViT) is a transformer-based architecture used in the field of computer vision, it is directly inspired by the use of Transformers in NLP tasks. Code: https://github.com/nikhilroxtomar/Vis... Blog Post: https://idiotdeveloper.com/vision-tra... Vision Transformer Research Paper: https://arxiv.org/pdf/2010.11929.pdf Timeline: 00:00 - Introduction 00:25 - What is Vision Transformer? 02:47 - Input Image to Patch Processing used in Vision Transformer 06:05 - Transformer Encoder 07:14 - Variants of Vision Transformer: ViT-Base, ViT-Large, ViT-Huge 07:44 - Importing all required libraries 08:43 - Begining with the _main_ and writing ViT variants configuration 09:32 - Vision Transformer Implementation 35:00 - Ending - SUBSCRIBE Support:    / @idiotdeveloper   https://www.buymeacoffee.com/nikhilro... Follow Me: BLOG: https://idiotdeveloper.com https://sciencetonight.com TELEGRAM: https://t.me/idiotdeveloper FACEBOOK:   / idiotdeveloper   TWITTER:   / nikhilroxtomar   INSTAGRAM: https://instagram/nikhilroxtomar PATREON:   / idiotdeveloper