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01:19:35 Advanced Machine Learning 2022 - day 27 Cycle GANs Advanced Machine Learning 2022 - day 27 Cycle GANs	Advanced Machine Learning 2022 - day 27 Cycle GANs HW 8 introduction; Cycle GANs image images model discriminator parameters generator training things kinds output idea pixels pixel models b. questions process domain objects input From Andrew Fagg 0 likes 1 plays 0
01:16:26 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 6 plays 0
01:17:50 Advanced Machine Learning 2022 - day 23… Advanced Machine Learning 2022 - day 23 Convolutional Autoencoders	Advanced Machine Learning 2022 - day 23 Convolutional Autoencoders Convolutional Autoencoders image channels things convolution dimensionality images representation class input columns rows thing max kinds point layers layer pixels kind pixel From Andrew Fagg 0 likes 6 plays 0
01:15:41 Advanced Machine Learning 2022 - day 22… Advanced Machine Learning 2022 - day 22 Transformers	Advanced Machine Learning 2022 - day 22 Transformers Transformers in Detail words word things point output attention matrix side images network representation input connections kinds lot couple representations image parameters gradient From Andrew Fagg 0 likes 6 plays 0
01:18:13 Advanced Machine Learning 2022 - day 20 Machine… Advanced Machine Learning 2022 - day 20 Machine Translation	Advanced Machine Learning 2022 - day 20 Machine Translation Machine Translation; Attention word sentence words representation layer attention network bit step input parameters questions output training hat representations things alphas process architecture From Andrew Fagg 0 likes 7 plays 0
01:10:06 CS 1323 Spring 2022, Friday March 25, Perfect… CS 1323 Spring 2022, Friday March 25, Perfect size and oversize arrays	CS 1323 Spring 2022, Friday March 25, Perfect size and oversize arrays Zoom Recording ID: 97947641544 UUID: wKxRzu1tTb+igBSFoGwBGQ== Meeting Time: 2022-03-25 02:15:08pm array method size arrays thing string things problem programming class point result memory students loop input scanner signature lot kind From Deborah Trytten 0 likes 9 plays 0
01:15:37 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 4 plays 0
01:14:29 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 2 plays 0
16:47 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 4 plays 0
01:15:45 Advanced Machine Learning 2022 - day 16 Recurrent… Advanced Machine Learning 2022 - day 16 Recurrent Neural Networks	Advanced Machine Learning 2022 - day 16 Recurrent Neural Networks Recurrent neural networks; Jordan Networks; Elman Networks; SimpleRNN output layer network step outputs things point parameters examples input goal bit signal monkey error inputs sort scenario units timestep From Andrew Fagg 0 likes 2 plays 0
01:12:53 Advanced Machine Learning 2022 - day 15 Model API Advanced Machine Learning 2022 - day 15 Model API	Advanced Machine Learning 2022 - day 15 Model API Keras Model API, nesting models; HW 4 introduction model input things image inception layer convolution images output tensor bit layers parameters module network homework models questions lot tensors From Andrew Fagg 0 likes 2 plays 0
59:51 CS 1323 Spring 2022, Friday March 4, Revirew for… CS 1323 Spring 2022, Friday March 4, Revirew for First Midterm	CS 1323 Spring 2022, Friday March 4, Revirew for First Midterm Zoom Recording ID: 97947641544 UUID: 8PUJRe/iR2euhQ9bIjQZMw== Meeting Time: 2022-03-04 03:20:10pm method thing exam things questions loop shelf points attention problem scanner package integer arrays inches input java question end times From Deborah Trytten 0 likes 14 plays 0
01:17:54 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 3 plays 0
01:19:00 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 6 plays 0
01:20:46 Advanced Machine Learning 2022 - day 12… Advanced Machine Learning 2022 - day 12 Convolutional Neural Networks	Advanced Machine Learning 2022 - day 12 Convolutional Neural Networks Convolutional neural networks: first code, 2D convolution; Dropout; First image classification architecture layer class kernel things input questions image bit images training point network dataset validation parameters size model padding channels thing From Andrew Fagg 0 likes 5 plays 0
01:17:47 Advanced Machine Learning 2022 - day 10… Advanced Machine Learning 2022 - day 10 Regularization and Dropout	Advanced Machine Learning 2022 - day 10 Regularization and Dropout L1 and L2 Regularization, Dropout, including regularization in Keras models training regularization homework dropout bit network function things model size validation questions l1 l2 performance input curve parameters layer neuron From Andrew Fagg 0 likes 5 plays 0