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01:19:40 Advanced Machine Learning 2022 - day 30 Future of… Advanced Machine Learning 2022 - day 30 Future of Deep Learning and Beyond	Advanced Machine Learning 2022 - day 30 Future of Deep Learning and Beyond GradCAM examples; future of Deep Learning and AI things model lot problem learning models cam kinds class examples bit grad images validation parameters glasses hand question saliency lots From Andrew Fagg 0 likes 3 plays 0
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
01:14:56 Advanced Machine Learning 2022 - day 23… Advanced Machine Learning 2022 - day 23 Autoencoders	Advanced Machine Learning 2022 - day 23 Autoencoders Autoencoders space point things image parameters network batch dataset kinds points representation thing problem lot homework lines layers linear idea questions 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 11 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
01:10:03 CS 1324 Spring 2022, Monday March 28, Perfect… CS 1324 Spring 2022, Monday March 28, Perfect size and oversize arrays	CS 1324 Spring 2022, Monday March 28, Perfect size and oversize arrays Zoom Recording ID: 92571064756 UUID: KmDG+kS7R5mQqqJwUt9bmg== Meeting Time: 2022-03-28 03:10:20pm array size method reference arrays bit things return result thing signatures parameter length class integer hm parameters stuff output couple From Deborah Trytten 0 likes 16 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 3 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 4 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
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
22:41 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 8 plays 0
10:52 Advanced Machine Learning 2022 - ArgumentParser… Advanced Machine Learning 2022 - ArgumentParser tricks	Advanced Machine Learning 2022 - ArgumentParser tricks Using parameter files with ArgumentParser layer things dot parameters epochs max filters layers options text option resolution network oscar files cetera size command convolution end From Andrew Fagg 0 likes 4 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 6 plays 0
01:09:37 CS 1323 Spring 2022, Wednesday February 24,… CS 1323 Spring 2022, Wednesday February 24, Methods	CS 1323 Spring 2022, Wednesday February 24, Methods Zoom Recording ID: 97947641544 UUID: H0hAAFRJQ9SxgfJidCKY3w== Meeting Time: 2022-02-23 03:11:28pm method parameters things stack frame parameter return size methods point programming intuition max min class room minute java lot variables From Deborah Trytten 0 likes 3 plays 0