Search for tag: "scenario"

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trim.67F05942-DDB4-4527-967A-2024B83C8ADF duration 14 minutes 15 seconds trim.67F05942-DDB4-4527-967A-2024B83C8ADF trim.67F05942-DDB4-4527-967A-2024B83C8ADF	trim.67F05942-DDB4-4527-967A-2024B83C8ADF This video is the how to on building a simulation on the OMNI 2 Samsung galaxy tablets. Only build scenarios on these tablets for manikins that pair with these tablets. This software is still UNI… omni 2 samsung simulation building signs minutes simulation stage stevens frankie students description scenario patient faculty minute scenarios boxes weight head hygiene hand pathways box From Heather Garrett 0 likes 0 plays 0
UNI® - Victoria® (V0000001) - CLINICAL… duration 8 minutes 22 seconds UNI® - Victoria® (V0000001) - CLINICAL… UNI® - Victoria® (V0000001) - CLINICAL III- POSTPARTUM HEMORRHAGE 2024-03-29 15-09-04	UNI® - Victoria® (V0000001) - CLINICAL III- POSTPARTUM HEMORRHAGE 2024-03-29 15-09-04 Gaumard UNI Simulation building on Mac Surface Pro tablets. Only use for manikins that are paired with these tablets. The example used for the simulation being built is for the Victoria Clinical III… gaumard victoria clinical iii simulation building scenario students simulation speech interventions mannequin manikin wait log boxes weight sim monitors monitor objectives minutes scenarios session doctor spouse From Heather Garrett 0 likes 0 plays 0
M2-V5 Human Risk Assessment Process duration 12 minutes 37 seconds M2-V5 Human Risk Assessment Process M2-V5 Human Risk Assessment Process	M2-V5 Human Risk Assessment Process OEH 5013 - Floyd exposure risk dose assessment response speed hazard effect traffic lot limit identification town chemicals rats agent vehicles scenario level ways From digi0000 Digital Learning 0 likes 2 plays 0
Advanced Machine Learning 2022 - day 16 Recurrent… duration 1 hour 15 minutes 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 5 plays 0
Advanced Machine Learning - Day 11 duration 1 hour 19 minutes Advanced Machine Learning - Day 11 Advanced Machine Learning - Day 11	Advanced Machine Learning - Day 11 Regularization and Dropout vchr3051 solution output bit neurons model regularization layer input scenario questions l2 neuron parameters network process grandmother w1 term situation dropout From Andrew Fagg 0 likes 24 plays 0