Building a Vision Transformer Model from Scratch with PyTorch


Curriculum for the course Building a Vision Transformer Model from Scratch with PyTorch

Learn to build a Vision Transformer (ViT) from scratch using PyTorch! This hands-on course guides you through each component, from patch embedding to the Transformer Encoder. Train your custom ViT model on CIFAR-10 and gain practical experience in image classification. Transition from CNNs to transformers in this efficient, end-to-end tutorial. Code: https://github.com/MOHAMMEDFAHD/pytorch-collections/blob/main/Building_Vision_Transformer_on_CIFAR_10_From_Scratch_Pytorch.ipynb Course developed by @programmingoceanacademy ❤️ Support for this channel comes from our friends at Scrimba – the coding platform that's reinvented interactive learning: https://scrimba.com/freecodecamp ⭐️ Contents ⭐️ ⌨️ (0:00:00) Intro ⌨️ (0:28:23) Theoretical Explanation of Vision Transformers ⌨️ (0:47:40) Environment Setup and Library Imports ⌨️ (0:55:14) Configurations and Hyperparameter Setup ⌨️ (0:58:28) Image Transformation Operations ⌨️ (1:00:28) Downloading the CIFAR-10 Dataset ⌨️ (1:04:22) Creating DataLoaders ⌨️ (1:11:32) Building the Vision Transformer (ViT) Model ⌨️ (1:43:41) Defining Loss Function and Optimizer ⌨️ (1:45:37) Training Loop and Model Training ⌨️ (2:03:18) Visualizing Accuracy (Training vs Testing) ⌨️ (2:06:08) Making and Visualizing Predictions ⌨️ (2:18:48) Fine-Tuning with Data Augmentation ⌨️ (2:25:08) Training the Fine-Tuned Model ⌨️ (2:27:08) Visualizing Fine-Tuned Accuracy ⌨️ (2:28:38) Predictions After Fine-Tuning 🎉 Thanks to our Champion and Sponsor supporters: 👾 Drake Milly 👾 Ulises Moralez 👾 Goddard Tan 👾 David MG 👾 Matthew Springman 👾 Claudio 👾 Oscar R. 👾 jedi-or-sith 👾 Nattira Maneerat 👾 Justin Hual -- Learn to code for free and get a developer job: https://www.freecodecamp.org Read hundreds of articles on programming: https://freecodecamp.org/news

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