Offered By: IBMSkillsNetwork
Vision Transformers for Image Classification Hands-on
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.Continue reading
Computer Vision74 Enrolled
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.
Skills You Will Learn
PyTorch, Python, Computer Vision, Deep Learning, Machine Learning
Senior Data Scientist at IBM
Joseph has a Ph.D. in Electrical Engineering, his research focused on using machine learning, signal processing, and computer vision to determine how videos impact human cognition. Joseph has been working for IBM since he completed his PhD.Read more
Data Scientist at IBM
I am a data scientist by day, superhero by night. Psych! I wish I was that cool. Only the former part is true which is still pretty cool! I believe in constant learning and it is an essential part of being a productive data enthusiast. I am also pursuing my masters in computer science from Simon Fraser University specializing in Big Data. Moreover, knowledge is transfer learning (pun intended!) and what I have gained, I plan on reflecting it back to the data community.Read more