Teaching

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I have been a TA for CNS 187: Neural Computation (2015 & 2016) as well as CS 159: Special Topics in Machine Learning (2019 - 2021). I have also given a series of guest lectures on Deep Learning in CS 155: Machine Learning & Data Mining (2017 - 2020).

2021


CS 159:
Deep Model-Based Reinforcement Learning
slides

2020


CS 155:
Deep Generative Models
slides

CS 159:
Amortized Inference in Deep Generative Models
slides, video

CS 295 (@ UC Irvine):
Deep Sequential Latent Variable Models
slides

2019


CS 155:
Deep Learning Part I: Neural Networks
slides, video

Deep Learning Part II: CNNs & RNNs
slides, video

Deep Learning Part III: Deep Generative Models
slides, video

CS 159:
Introduction to Deep Generative Models
slides

Maximum Likelihood and Latent Variable Models
slides

CS 295 (@ UC Irvine):
Deep Sequential Latent Variable Models
slides

2018


CS 155:
Deep Learning Part I: Neural Networks
slides, video

Deep Learning Part II: CNNs & RNNs
slides, video

Deep Learning Part III: Deep Generative Models
slides, video

2017


CS 155:
Deep Learning Part I: Neural Networks
slides, video: 1 2

Deep Learning Part II: CNNs & RNNs
slides, video: 1 2

2016


CNS 187:
Convolutional Neural Networks
slides

Special Topics: Biological Inspiration
slides

2015


CNS 187:
Convolutional Neural Networks
slides