Hands-on Workshop: Vision Transformer – Implementation & Classification Task

Details

Dive deep into the cutting-edge world of computer vision with our hands-on workshop on Vision Transformer (ViT). Vision Transformers are revolutionizing the field of image recognition and classification, offering a robust alternative to traditional convolutional neural networks (CNNs).

Join us as our experts guide you through the process of implementing a Vision Transformer from scratch and applying it to a real-world classification task. Whether you\’re a beginner or have some experience, this workshop will enhance your understanding and skills in modern deep learning techniques.

• ———————–You can join the workshop with this Zoom meeting link:

Please make sure to leave time before the start of the workshop for registration

• ———————–Description:

This workshop is designed to give participants hands-on experience with Vision Transformers, from theory to practice. You\’ll learn how to build, train, and evaluate a ViT model and understand its applications in image classification tasks.

Discover how Transformers, primarily used in natural language processing, have been successfully adapted for computer vision tasks, marking a significant milestone in AI research.

• ———————–Agenda:
• Introduction to Vision Transformers
• Implementing ViT from Scratch
• Preparing Datasets for Image Classification
• Training and Evaluating the ViT Model
• Best Practices and Optimization Techniques
• Q&A
• ———————–Who is this event for?
• Aspiring and current AI professionals interested in deep learning and computer vision
• Researchers and students seeking practical experience with Vision Transformers
• Anyone curious about the latest advancements in AI and machine learning

If you\’re excited about unlocking the potential of Vision Transformers in image recognition tasks, this workshop is for you!

• ———————–Learn More:

Don\’t miss this opportunity to get hands-on experience with one of the most exciting developments in AI. Stay ahead in the field of computer vision by mastering Vision Transformers. For more information on our upcoming workshops and courses, visit our website:

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