Search for tag: "cells"

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Forecasting MCSs and Derechoes duration 1 hour 4 minutes Forecasting MCSs and Derechoes Forecasting MCSs and Derechoes	Forecasting MCSs and Derechoes Dr. Mike Coniglio discusses the science and forecasting of mesoscale convective systems (MCSs) and derechoes. mcs level cells pool jet convection wind ratio ratios lot boundary environment lapse shear modes situation place cape mode region From Thomas Galarneau 0 likes 16 plays 0
Machine Learning Practice: Compute Server: CoLab… duration 13 minutes 21 seconds Machine Learning Practice: Compute Server: CoLab… Machine Learning Practice: Compute Server: CoLab Interface	Machine Learning Practice: Compute Server: CoLab Interface Zoom Recording ID: 4053258606 UUID: fa7SB5jxSYOwSZWownXupQ== Meeting Time: 2021-08-23 09:07:45pm drive cells notebook folder copy cell class colab text interface mlp context menu documentation things examples level process machine header From Andrew Fagg 0 likes 32 plays 0
8.2 Pre-Class Lecture duration 10 minutes 25 seconds 8.2 Pre-Class Lecture 8.2 Pre-Class Lecture	8.2 Pre-Class Lecture moles times boxes sodium cells reactant grams eggs mole reaction box amount reactions congrats differences lungs insurance loss ammonia hours From Leena Nabulsi 0 likes 26 plays 0
Lecture 3-24-21 duration 47 minutes 25 seconds Lecture 3-24-21 Lecture 3-24-21	Lecture 3-24-21 plasmid dna restriction plasma cells enzymes direction bacteria questions transformation end enzyme game kind step insert digestion polymerase cell gene From Naga Rama Kothapalli 0 likes 41 plays 0
Lecture 03-10-21 duration 51 minutes 49 seconds Lecture 03-10-21 Lecture 03-10-21	Lecture 03-10-21 Genomic DNA and PCR setup dna pcr polymerase primers process gene enzyme rna template bacteria lab questions replication amplification concentration cells purpose step primer nucleotides From Naga Rama Kothapalli 0 likes 48 plays 0
Advanced Machine Learning - Day 12 duration 1 hour 18 minutes Advanced Machine Learning - Day 12 Advanced Machine Learning - Day 12	Advanced Machine Learning - Day 12 Convolutional Neural Networks background vchr3051 image kinds things input images layer features cells parameters question problem fact network architecture neurons lot cats representation neuron times From Andrew Fagg 0 likes 27 plays 0