Transformers in Computer Vision - English version
Sub Category
- Other IT & Software
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Objectives
- What are transformer networks?
- State of the Art architectures for CV Apps like Image Classification, Semantic Segmentation, Object Detection and Video Processing
- Practical application of SoTA architectures like ViT, DETR, SWIN in Huggingface vision transformers
- Attention mechanisms as a general Deep Learning idea
- Inductive Bias and the landscape of DL models in terms of modeling assumptions
- Transformers application in NLP and Machine Translation
- Transformers in Computer Vision
- Different types of attention in Computer Vision
Pre Requisites
- Practical Machine Learning course
- Practical Computer Vision course (ConvNets)
- Introduction to NLP course
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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