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02:14 Firewall and Network Devices Firewall and Network Devices	Firewall and Network Devices Firewall and Network Devices devices network firewall authentication vulnerabilities legacy device end documents campus patches findings finding week maturity level mitigation vulnerability detail access From Aaron Baillio 0 likes 10 plays 0
01:18:23 Advanced Machine Learning 2022 - day 29… Advanced Machine Learning 2022 - day 29 Explainable AI for Deep Networks	Advanced Machine Learning 2022 - day 29 Explainable AI for Deep Networks Saliency, CAM, GradCAM image pixels class kinds network dog label activation things cat cam feature model grad lot method question maps layer features From Andrew Fagg 0 likes 4 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
01:16:26 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 4 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
01:15:37 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
44:37 Zuyuan Zhang (9/March/2022) Zuyuan Zhang (9/March/2022)	Zuyuan Zhang (9/March/2022) cs seminar problem network graph model nodes edges edge component cost problems components algorithm solution node power failures optimization flow side subset From Sina Khanmohammadi 0 likes 38 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
17:11 Advanced Machine Learning 2022 - HW3 Intro Advanced Machine Learning 2022 - HW3 Intro	Advanced Machine Learning 2022 - HW3 Intro Homework 3 object validation dataset classes objects scissors mugs images mug class training files glasses homework accuracy testing rotation layers network test From Andrew Fagg 0 likes 1 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 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