lectures
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Lecture 1: Introduction: Virtual Enviroments and Virtual Boxes
(Sep. 05, 2020)
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Lecture 2: Containers
(Sep. 07, 2020)
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Lecture 3: Kubernetes
(Sep. 15, 2020)
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Lecture 4: Dask
(Sep. 22, 2020)
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Lecture 5: Transfer Learning
(Oct. 06, 2020)
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Lecture 7: Language Modeling
(Oct. 13, 2020)
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Lecture 6: Transfer Learning
(Oct. 13, 2020)
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Lecture 8: Attention and Transformers
(Oct. 27, 2020)
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Lecture 9: Distillation and Compression
(Nov. 03, 2020)
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Lecture 10: Introduction and Overview of Viz for Deep Models: lime and shapley
(Nov. 03, 2020)
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Lecture 11: CNNs for Image Data, Activation Maximization and Saliency Maps
(Nov. 24, 2020)
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Lecture 12: Attention for Debugging Language Models
(Dec. 01, 2020)