Swin Transformer Code
>> YOUR LINK HERE: ___ http://youtube.com/watch?v=LspWysWparE
In this tutorial, I skimmed through the paper ‘Swin Transformer: Hierarchical Vision Transformer using Shifted Windows.’ I also run the code on a Jupyter notebook with some printouts that show how the tensor changes inside the transformer. • ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ • 🔗 notes on swin transformer: https://mashaan14.github.io/YouTube-c... • ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ • website https://mashaan14.github.io/mashaan/ • github https://github.com/mashaan14 • X / mashaan_14 • linkedin / mashaan • ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ • sponsor this channel on GitHub Sponsors: • https://github.com/sponsors/mashaan14 • ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ • 📹 Video edit: Adobe Premiere Rush • 🎧 Audio enhancement: Adobe Podcast • 🖼️ Thumbnails: GIMP • ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ • Chapters: • 00:00 start • 01:10 the hierarchical structure in image classification • 05:00 swin transformer github repository • 05:38 transformer architecture • 06:53 start of the code • 08:35 running a single batch into the transformer • 12:49 patch merging • 17:40 2nd, 3rd, and 4th layers of the transformer • 18:57 a note about patch merging • 23:31 layer norm • 30:27 an example on layer norm • 31:42 swin transformer blocks • 33:50 shifted windows code • 35:43 attention mask • 37:45 model summary • 40:29 are you interested in a jax version of this? • ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ • #Swin #SwinTransformer #ViT #attention #multiheadattention #convolution #pytorch #torchvision #visiontransformer #image #imageclassification #computervision #DeepLearningTutorial #MachineLearningProject #AIResearch #CodingTutorial
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