Vision Transformers for Image Classification Hands-on
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Gain hands-on experience using Vision Transformers for image classification. Learn the state-of-the-art deep learning techniques to improve image recognition accuracy and efficiency.
At a Glance
Up your game in Image classification by using Vision Transformers to achieve remarkable performance, surpassing CNN-based methods, and delivering state-of-the-art results on large image datasets.
Why you should do this guided project
A Look at the Project Ahead
- Develop a solid grasp of the principles and workings of vision transformers.
- Acquire the skills to seamlessly integrate vision transformers into image classification tasks.
What You’ll Need
Skills You’ll Learn
- PyTorch: In this guided project, you will work with the PyTorch library to build and train a vision transformer specifically for image classification tasks. By leveraging the power of PyTorch, you will develop an efficient and accurate model to classify images effectively.
- Vision Transformers: You will explore the concept of vision transformers to enhance the efficiency and accuracy of your image classification system. Additionally, you will learn about their implementation to further refine the model.
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