Will Transformers Replace CNNs in Computer Vision? + NVIDIA GTC Giveaway
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►The article: https://www.louisbouchard.ai/will-transformers-replace-cnns-for-vision/
►DLI courses: https://www.nvidia.com/en-us/training/
References:
►Paper: Liu, Z., “Swin Transformer: Hierarchical Vision Transformer using Shifted Windows”, 2021, https://arxiv.org/abs/2103.14030v1
►Code: https://github.com/microsoft/Swin-Transformer
►Great transformer blog post by Davide Coccomini: https://towardsdatascience.com/transformers-an-exciting-revolution-from-text-to-videos-dc70a15e617b
In a couple of minutes, you will know how this transformer architecture can be applied to computer vision with a new paper called the Swin Transformer.
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The best courses in AI & Guide+Repository on how to start:
►https://medium.com/towards-artificial-intelligence/start-machine-learning-in-2020-become-an-expert-from-nothing-for-free-f31587630cf7
►https://github.com/louisfb01/start-machine-learning-in-2020
Chapters:
0:00 Hey! Stay until the end for the giveaway and don't forget to subscribe! You will learn a lot, I promise!
1:25 Transformers vs CNNs
2:30 What is attention and self-attention
2:58 The problem with transformer on images
3:37 One fix: Swin Transformers
5:02 Convolution vs self-attention
6:36 What is NVIDIA GTC
7:22 DLI Giveaway #1
8:18 DLI Giveaway #2
8:44 Thanking recent youtube members
#transformers #artificialintelligence #cnns
Видео Will Transformers Replace CNNs in Computer Vision? + NVIDIA GTC Giveaway канала What's AI
►My Newsletter (subscribe here to have a chance to win!): http://eepurl.com/huGLT5
►The article: https://www.louisbouchard.ai/will-transformers-replace-cnns-for-vision/
►DLI courses: https://www.nvidia.com/en-us/training/
References:
►Paper: Liu, Z., “Swin Transformer: Hierarchical Vision Transformer using Shifted Windows”, 2021, https://arxiv.org/abs/2103.14030v1
►Code: https://github.com/microsoft/Swin-Transformer
►Great transformer blog post by Davide Coccomini: https://towardsdatascience.com/transformers-an-exciting-revolution-from-text-to-videos-dc70a15e617b
In a couple of minutes, you will know how this transformer architecture can be applied to computer vision with a new paper called the Swin Transformer.
Become a member of the YouTube community and support my work:
https://www.youtube.com/channel/UCUzGQrN-lyyc0BWTYoJM_Sg/join
Follow me for more AI content:
►Subscribe to my newsletter: http://eepurl.com/huGLT5
►Instagram: https://www.instagram.com/whats_ai/
►LinkedIn: https://www.linkedin.com/in/whats-ai/
►Twitter: https://twitter.com/Whats_AI
►Facebook: https://www.facebook.com/whats.artificial.intelligence/
►Medium: https://whats-ai.medium.com/
Join Our Discord channel, Learn AI Together:
►https://discord.gg/learnaitogether
The best courses in AI & Guide+Repository on how to start:
►https://medium.com/towards-artificial-intelligence/start-machine-learning-in-2020-become-an-expert-from-nothing-for-free-f31587630cf7
►https://github.com/louisfb01/start-machine-learning-in-2020
Chapters:
0:00 Hey! Stay until the end for the giveaway and don't forget to subscribe! You will learn a lot, I promise!
1:25 Transformers vs CNNs
2:30 What is attention and self-attention
2:58 The problem with transformer on images
3:37 One fix: Swin Transformers
5:02 Convolution vs self-attention
6:36 What is NVIDIA GTC
7:22 DLI Giveaway #1
8:18 DLI Giveaway #2
8:44 Thanking recent youtube members
#transformers #artificialintelligence #cnns
Видео Will Transformers Replace CNNs in Computer Vision? + NVIDIA GTC Giveaway канала What's AI
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