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JamesG Introduction video duration 21 seconds JamesG Introduction video JamesG Introduction video	JamesG Introduction video Introduction video countries cat lie truth healthcare function population masters From James Gallaher 0 likes 4 plays 0
Lecture: 10 November 2022 duration 1 hour 14 minutes Lecture: 10 November 2022 Lecture: 10 November 2022	Lecture: 10 November 2022 drop drops mass size distribution collision times collisions equilibrium mu rain function rate coalescence efficiency equation model breakup term delta From Greg McFarquhar 0 likes 5 plays 0
Lecture: 15 November 2022 duration 1 hour 14 minutes Lecture: 15 November 2022 Lecture: 15 November 2022	Lecture: 15 November 2022 size drop distribution equilibrium drops parameterization model peaks mass collisions collision coalescence observations function distributions rain pairs breakup raindrops times From Greg McFarquhar 0 likes 13 plays 0
Lecture: 20 September duration 1 hour 21 minutes Lecture: 20 September Lecture: 20 September	Lecture: 20 September function ice distribution water lambda minus moment naught times units lot temperature bit questions crystals surface things clouds size test From Greg McFarquhar 0 likes 13 plays 0
Class: 15 September 2022 duration 1 hour 22 minutes Class: 15 September 2022 Class: 15 September 2022	Class: 15 September 2022 distribution function lambda minus units size content water naught mass times lot gamma homework question concentration particles moment sigma distributions From Greg McFarquhar 0 likes 17 plays 0
Lecture: 13 September 2022 duration 1 hour 20 minutes Lecture: 13 September 2022 Lecture: 13 September 2022	Lecture: 13 September 2022 cloud size distribution lot concentration humidity particles meter delta log water observations times content class meters thing measurements studies function From Greg McFarquhar 0 likes 17 plays 0
Advanced Machine Learning 2022 - day 28 Style… duration 1 hour 12 minutes 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 6 plays 0
Advanced Machine Learning 2022 - day 26… duration 1 hour 16 minutes Advanced Machine Learning 2022 - day 26… Advanced Machine Learning 2022 - day 26 Generative Adversarial Networks	Advanced Machine Learning 2022 - day 26 Generative Adversarial Networks Generative Adversarial Networks generator image images discriminator input output things training distribution parameters network idea function sample thing question decoder space side questions From Andrew Fagg 0 likes 8 plays 0
Advanced Machine Learning 2022 - day 25… duration 1 hour 13 minutes Advanced Machine Learning 2022 - day 25… Advanced Machine Learning 2022 - day 25 Variational Autoencoders	Advanced Machine Learning 2022 - day 25 Variational Autoencoders Variational Autoencoders image space point points images things sigma region representation distribution autoencoder density cats representations function mountains term idea question vector From Andrew Fagg 0 likes 19 plays 0
Advanced Machine Learning 2022 - day 18 Gated… duration 1 hour 15 minutes Advanced Machine Learning 2022 - day 18 Gated… Advanced Machine Learning 2022 - day 18 Gated Recurrent Networks	Advanced Machine Learning 2022 - day 18 Gated Recurrent Networks Gated Recurrent Networks. Hierarchical recurrent networks. things layer network bit dimensionality function point memory inception units idea layers problem kinds unit question convolution input thing gradient From Andrew Fagg 0 likes 8 plays 0
Advanced Machine Learning 2022 - day 17 Recurrent… duration 1 hour 14 minutes Advanced Machine Learning 2022 - day 17 Recurrent… Advanced Machine Learning 2022 - day 17 Recurrent Neural Networks and Gating	Advanced Machine Learning 2022 - day 17 Recurrent Neural Networks and Gating Homework 4; recurrent neural networks; mathematics of gating output parameters hat bit things function network inception convolution units gradient input lot problem architecture step outputs sequences rotation features From Andrew Fagg 0 likes 13 plays 0
Introduction to Linear Models - CS 5003 - Diochnos duration 16 minutes 47 seconds Introduction to Linear Models - CS 5003 - Diochnos Introduction to Linear Models - CS 5003 - Diochnos	Introduction to Linear Models - CS 5003 - Diochnos perceptron origin points vector naught examples kind point instance perceptrons decision space function classification input sum dimensions rule hypotheses weight From digi0000 Digital Learning 0 likes 7 plays 0
Advanced Machine Learning 2022 - day 14… duration 1 hour 17 minutes Advanced Machine Learning 2022 - day 14… Advanced Machine Learning 2022 - day 14 Convolutional Neural Netowrks	Advanced Machine Learning 2022 - day 14 Convolutional Neural Netowrks Convolutional neural networks; data augmentation; ImageDataGenerator; creating branching networks tensor input image function convolution things layer output model images object augmentation tensors node class gpu parameters inputs thing rows From Andrew Fagg 0 likes 5 plays 0
Advanced Machine Learning 2022 - Day 13… duration 1 hour 19 minutes Advanced Machine Learning 2022 - Day 13… Advanced Machine Learning 2022 - Day 13 Convolutional Neural Network Architectures	Advanced Machine Learning 2022 - Day 13 Convolutional Neural Network Architectures Convolutional Neural Networks; building image recognition networks; categorical cross-entropy; binary cross-entropy classes image batch rows columns thread max function bit filters class things parameters input generator images layer convolution threads size From Andrew Fagg 0 likes 14 plays 0
Advanced Machine Learning 2022 - HW3 Code… duration 22 minutes 41 seconds Advanced Machine Learning 2022 - HW3 Code… Advanced Machine Learning 2022 - HW3 Code Discussion	Advanced Machine Learning 2022 - HW3 Code Discussion Zoom Recording ID: 97315189191 UUID: mnFo3jbAQBakR6XILsDh7Q== Meeting Time: 2022-02-28 07:35:29pm validation training images generator homework image function object dataframe bit size things pickle process epoch steps testing test parameters directory From Andrew Fagg 0 likes 13 plays 0
Advanced Machine Learning 2022 - HW2, part 2 duration 20 minutes 30 seconds Advanced Machine Learning 2022 - HW2, part 2 Advanced Machine Learning 2022 - HW2, part 2	Advanced Machine Learning 2022 - HW2, part 2 HW2, part 2 training regularization experiments choice sizes dropout size layer parts models homework function pdf things hyperparameter hyperparameters couple fact vector lambda From Andrew Fagg 0 likes 10 plays 0