Transformers in Computer Vision - English version
Transformers in Computer Vision - English version
4.02 (79 reviews)
5,819
students
5.5 hours
content
Jan 2023
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
5113844
udemy ID
1/26/2023
course created date
3/30/2023
course indexed date
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