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Student Learning Hub: Introduction to Neural Networks (NNs): How and When to Use Recurrent NNs and Convolution NNs
October 13 @ 11:30 am - 12:30 pm
- Instructor: Haggai D. Davis, III, New York University
- Hands-on exercise: Yes
- Beginner level: No prior experience required.
- Schedule: Friday Oct 13th, 11:30am-12:30pm
- Description: 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.