This video walks through the Keras Code Example implementation of Vision Transformers!! I see this as a huge opportunity for graduate students and researchers because this architecture has a serious room for improvement. I predict that Attention will outperform CNN models like ResNets, EfficientNets, etc. it will just take the discovery of complimentary priors, e.g. custom data augmentations or pre-training tasks. I hope you find this video useful, please check out the rest of the Keras Code Examples playlist!
Content Links:
Keras Code Exampes - Vision Transformers: https://keras.io/examples/vision/imag...
Google AI Blog Visualization: https://ai.googleblog.com/2020/12/tra...
Formal Paper describing this model: https://arxiv.org/pdf/2010.11929.pdf
TensorFlow Addons: https://www.tensorflow.org/addons
TensorFlow Addons -AdamW: https://www.tensorflow.org/addons/api...
Chapters
0:00 Welcome to the Keras Code Examples!
0:45 Vision Transformer Explained
2:47 TensorFlow Add-Ons
3:29 Hyperparameters
7:04 Data Augmentations
8:30 Patch Construction
11:52 Patch Embeddings
14:01 ViT Classifier
16:30 Compile and Run
19:02 Analysis of Final Performance
Watch video Vision Transformer - Keras Code Examples!! online without registration, duration hours minute second in high quality. This video was added by user Connor Shorten 27 February 2021, don't forget to share it with your friends and acquaintances, it has been viewed on our site 43,266 once and liked it 1 thousand people.