Image Classification Using Vision Transformer | ViTs on Google Colab скачать в хорошем качестве

Image Classification Using Vision Transformer | ViTs on Google Colab

Learn how to *train Vision Transformers (ViTs) on your custom dataset* using *Google Colab* in this step-by-step tutorial! 🚀 This video walks you through the entire process, from setting up your Colab environment to *training, evaluating, and testing* your Vision Transformer model on any image dataset. Perfect for beginners and AI enthusiasts looking to apply **ViTs in real-world computer vision projects**. 📌 *What You’ll Learn:* ✅ Setting up a *Google Colab environment* for ViT training ✅ Preparing and loading your *custom image dataset* ✅ Training a *Vision Transformer (ViT) model* step by step ✅ Evaluating model performance and metrics ✅ Tips for improving accuracy and efficiency 🔗 *GitHub Repository with Full Code:* https://github.com/codewithaarohi/Vis... 💬 *For Queries or Assistance:* Comment below or email me at *aarohisingla1987@gmail.com* 🔔 Don’t forget to *like, share, and subscribe* for more tutorials on **AI, computer vision, and Vision Transformers**! #VisionTransformer #ViT #CustomDataset #ImageClassification #Transformers #ComputerVision #DeepLearning #AI #MachineLearning #NeuralNetworks #GoogleColab #AIProjects #DeepLearningTutorial