Search for tag: "layer"

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01:07:28 Lapo Naldoni, WASP 3D printers Lapo Naldoni, WASP 3D printers	Lapo Naldoni, WASP 3D printers material machine lot building wall soil printing amount water 3d shrinkage energy questions layer problem mix architecture temperature shape element From Chris Morrey 0 likes 25 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
01:17:50 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
01:18:13 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
01:15:45 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
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
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
21:54 Hodographs Hodographs	Hodographs This video provides an introduction to hodograph basics. vorticity photograph vector storm wind flow component layer shear motion photographs bulk point updraft stream height direction crosswise advection winds From Thomas Galarneau 0 likes 48 plays 0
18:08 Severe Storm Ingredients: Vertical wind shear Severe Storm Ingredients: Vertical wind shear	Severe Storm Ingredients: Vertical wind shear This video elaborates on how baroclinic cyclones, jet streaks, lee cyclogenesis, and the LLJ modulates vertical wind shear. jet flow region level wind surface circulation exit shear trough terrain side rockies air height cycle plains north layer entrance From Thomas Galarneau 0 likes 18 plays 0
20:30 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 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
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