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DTSTART;TZID=America/New_York:20231013T103000
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UID:80834-1697193000-1697194800@c2smart.engineering.nyu.edu
SUMMARY:CUE PhD Biweekly Friday Seminar
DESCRIPTION:Updated Quantifying and Visualizing City Truck Route Network Efficiency Using a Virtual Testbed \nPresented by Haggai Davis\, III
URL:https://c2smart.engineering.nyu.edu/event/cue-phd-biweekly-friday-seminar/
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DTSTART;TZID=America/New_York:20231013T113000
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UID:80684-1697196600-1697200200@c2smart.engineering.nyu.edu
SUMMARY:Student Learning Hub: Introduction to Neural Networks (NNs): How and When to Use Recurrent NNs and Convolution NNs
DESCRIPTION:Instructor: Haggai D. Davis\, III\, New York University\nHands-on exercise: Yes\nBeginner level: No prior experience required.\nSchedule: Friday Oct 13th\, 11:30am-12:30pm\nDescription: Machine learning is an incredibly broad term that encompasses a lot of different algorithms which can be applied to solve a variety of problems.  Neural networks are one category of ML algorithms which consist of layers of nodes (or neurons) which will activate to transmit information when certain thresholds are met. RNNs and CNNs are subclasses of neural networks whose differing structures allow for the analysis of different types of datasets\, usually things like time-series and pattern-recognition\, respectively.\n\n 
URL:https://c2smart.engineering.nyu.edu/event/student-learning-hub-introduction-to-neural-networks-nns-how-and-when-to-use-recurrent-nns-and-convolution-nns/
CATEGORIES:Student Events
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