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WebCSC485/2501H1 Computational LinguisticsGerald PennAutumn 2024 CSC495H1 Project: Continual LearningFlorian ShkurtiAutumn 2024 ... Institute; University of Toronto) and Dr. Chuan-Yung Tsai (Vector Institute). •Co-President, withYixuan (Richard) Xu July 2024 - … WebProbability and expectation, discrete and continuous random variables and vectors, distribution and density functions, the law of large numbers. The binomial, geometric, Poisson, and normal distributions. The Central Limit Theorem. (Note: STA257H1 does not count as a distribution requirement course). Prerequisite. WebCSC413H1: Neural Networks and Deep Learning. Hours. 24L/12T. Previous Course Number. CSC321H1/CSC421H1. An introduction to neural networks and deep learning. Backpropagation and automatic differentiation. Architectures: convolutional networks and recurrent neural networks. Methods for improving optimization and generalization. chinle high school football schedule