TensorFlow Developer

In this video, we take a look at Swin Transformers. What is it? Why do we have it? How does it look? ABOUT ME ⭕ Subscribe: https://www.youtube.com/c/CodeEmporium?sub_confirmation=1 📚 Medium Blog: https://medium.com/@dataemporium 💻 Github: https://github.com/ajhalthor 👔 LinkedIn: https://www.linkedin.com/in/ajay-halthor-477974bb/ RESOURCES [1 📚] Main Paper: https://arxiv.org/pdf/2103.14030 [2 📚] Slides: https://link.excalidraw.com/p/readonly/GDnU1EEBGfAyUoEtVyj8 [3 📚] Feature Pyramid Networks: https://youtu.be/i4GKvPGoGxY?si=fgWUV1DYQH3YeU-6 [4 📚] Playlist of Transformers from scratch: https://youtu.be/QCJQG4DuHT0?si=UllVN6odQKC-nsvb [5 📚] Faster R-CNN: https://youtu.be/ws0nlxCWWI8?si=om9yCa-mKWxTtFmQ [6 📚] DETR: https://youtu.be/r3lDNWYDGF4?si=N4XehrgljW0A7XPQ PLAYLISTS FROM MY CHANNEL ⭕ Reinforcement Learning: https://youtube.com/playlist?list=PLTl9hO2Oobd9kS--NgVz0EPNyEmygV1Ha&si=AuThDZJwG19cgTA8 Natural Language Processing: https://youtube.com/playlist?list=PLTl9hO2Oobd_bzXUpzKMKA3liq2kj6LfE&si=LsVy8RDPu8jeO-cc ⭕ Transformers from Scratch: https://youtube.com/playlist?list=PLTl9hO2Oobd_bzXUpzKMKA3liq2kj6LfE ⭕ ChatGPT Playlist: https://youtube.com/playlist?list=PLTl9hO2Oobd9coYT6XsTraTBo4pL1j4HJ ⭕ Convolutional Neural Networks: https://youtube.com/playlist?list=PLTl9hO2Oobd9U0XHz62Lw6EgIMkQpfz74 ⭕ The Math You Should Know : https://youtube.com/playlist?list=PLTl9hO2Oobd-_5sGLnbgE8Poer1Xjzz4h ⭕ Probability Theory for Machine Learning: https://youtube.com/playlist?list=PLTl9hO2Oobd9bPcq0fj91Jgk_-h1H_W3V ⭕ Coding Machine Learning: https://youtube.com/playlist?list=PLTl9hO2Oobd82vcsOnvCNzxrZOlrz3RiD MATH COURSES (7 day free trial) 📕 Mathematics for Machine Learning: https://imp.i384100.net/MathML 📕 Calculus: https://imp.i384100.net/Calculus 📕 Statistics for Data Science: https://imp.i384100.net/AdvancedStatistics 📕 Bayesian Statistics: https://imp.i384100.net/BayesianStatistics 📕 Linear Algebra: https://imp.i384100.net/LinearAlgebra 📕 Probability: https://imp.i384100.net/Probability OTHER RELATED COURSES (7 day free trial) 📕 ⭐ Deep Learning Specialization: https://imp.i384100.net/Deep-Learning 📕 Python for Everybody: https://imp.i384100.net/python 📕 MLOps Course: https://imp.i384100.net/MLOps 📕 Natural Language Processing (NLP): https://imp.i384100.net/NLP 📕 Machine Learning in Production: https://imp.i384100.net/MLProduction 📕 Data Science Specialization: https://imp.i384100.net/DataScience 📕 Tensorflow: https://imp.i384100.net/Tensorflow CHAPTERS 00:00 What is the Swin Transformer? 01:30 Historical context to understand why Swin Transformers exist 04:45 Problems with vanilla transformer architectures with images 08:23 Swin Transformer architecuture at a high level 09:40 What is the “Swin Transformer Block” 10:14 Deep dive into the Swin Transformer block architecture 11:06 Windowed-Multi-head Self Attention 16:10 Shifted Window Multi-head self attention 21:43 Patch Merging 22:36 Swin Transformer + Feature Pyramid Network as backbone 23:46 Performance 24:51 Quiz Time 26:05 Summary