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23:44 Extra Lecture Module 3 SCM 5562 Extra Lecture Module 3 SCM 5562	Extra Lecture Module 3 SCM 5562 Zoom Recording ID: 91549756560 UUID: cI56yT+UQ7upOZ3Gfgz5Dg== Meeting Time: 2023-07-19 02:38:01amGMT supply chain article suppliers demand chains pandemic level governance activities manufacturing countries mechanisms disruptions loss trend examples production networks companies From Jay Jayaram 0 likes 6 plays 0
01:12:20 Advanced Machine Learning 2022 - day 28 Style… Advanced Machine Learning 2022 - day 28 Style Transfer	Advanced Machine Learning 2022 - day 28 Style Transfer Image gradients; Style Transfer image style features images things class loss dataset kinds network bit function content feature lot level labels examples water correlation From Andrew Fagg 0 likes 4 plays 0
01:09:21 Advanced Machine Learning 2022 - day 09 Training… Advanced Machine Learning 2022 - day 09 Training Larger Models	Advanced Machine Learning 2022 - day 09 Training Larger Models HW1 discussion, the vanishing gradient problem, selecting non-linearities, batch normalization, transfer learning homework training function lot model things batch bit question layer supercomputer thing normalization loss practice parameters distribution problem output metrics From Andrew Fagg 0 likes 2 plays 0
10:25 8.2 Pre-Class Lecture 8.2 Pre-Class Lecture	8.2 Pre-Class Lecture moles times boxes sodium cells reactant grams eggs mole reaction box amount reactions congrats differences lungs insurance loss ammonia hours From Leena Nabulsi 0 likes 26 plays 0
01:19:49 Advanced Machine Learning - Day 14 Advanced Machine Learning - Day 14	Advanced Machine Learning - Day 14 Convolutional Neural Networks in practice vchr3051 class classes layer image cross network entropy log output objects loss probability things bit dataset parameters object images label validation From Andrew Fagg 0 likes 40 plays 0
01:20:53 Advanced Machine Learning - Day 5 Advanced Machine Learning - Day 5	Advanced Machine Learning - Day 5 First network in Keras; Jupyter lab vchr3051 model things training parameters layer inputs lot tensorflow bit units function validation point loss output epoch step input thing examples From Andrew Fagg 0 likes 37 plays 0