YOLO - Explained! скачать в хорошем качестве

YOLO - Explained!

In this video, we take a look the YOLO (V1) network. What is it? Why and how does it work? ABOUT ME ⭕ Subscribe: https://www.youtube.com/c/CodeEmporiu... 📚 Medium Blog:   / dataemporium   💻 Github: https://github.com/ajhalthor 👔 LinkedIn:   / ajay-halthor-477974bb   RESOURCES [1 📚] Slides used in the video: https://link.excalidraw.com/p/readonl... [2 📚] Architecture diagram: https://github.com/ajhalthor/computer... [3 📚] Main paper of the video: https://arxiv.org/pdf/1506.02640 [4 📚] RCNN video:    • R-CNN - Explained!   [5 📚 ] Fast RCNN video:    • Fast R-CNN - Explained!   [6 📚 ] Faster RCNN video: [7 📚 ] Great video by original creator:    • You Only Look Once: Unified, Real-Time Obj...   [8 📚 ] Slides for that video: https://docs.google.com/presentation/... [9 📚 ] Interactive colab notebook to upload images: https://colab.research.google.com/dri... [10 📚 ] pytorch implementation by explainingAI: https://github.com/explainingai-code/... [11 📚 ] Another reimplementation in pytorch: https://github.com/motokimura/yolo_v1... PLAYLISTS FROM MY CHANNEL ⭕ Reinforcement Learning:    • Reinforcement Learning 101   Natural Language Processing:    • Natural Language Processing 101   ⭕ Transformers from Scratch:    • Natural Language Processing 101   ⭕ ChatGPT Playlist:    • ChatGPT   ⭕ Convolutional Neural Networks:    • Convolution Neural Networks   ⭕ The Math You Should Know :    • The Math You Should Know   ⭕ Probability Theory for Machine Learning:    • Probability Theory for Machine Learning   ⭕ Coding Machine Learning:    • Code Machine Learning   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/AdvancedStati... 📕 Bayesian Statistics: https://imp.i384100.net/BayesianStati... 📕 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 YOLO? 00:45 Why YOLO and it's advantages over R-CNN 05:29 Architecture 08:44 Why is output tensor 7 x 7x 30? 11:24 Training YOLO 14:56 Loss function 19:38 Inference of YOLO 20:28 Quiz Time 21:24 Summary