Transformers in Computer Vision
Transformers in Computer Vision
4.71 (131 reviews)
8,792
students
7 hours
content
Oct 2022
last update
$59.99
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What you will learn
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
Related Topics
4948464
udemy ID
10/27/2022
course created date
10/29/2022
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