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AC295 SPRING 2020 PRESENTATION SCHEDULE
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WeekDateLecture #TopicsGroup Presenting 1Group Presenting 2
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11/281Introduction
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1/302Set up
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22/43Virtual Environments, Virtual Boxes, and Containers
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2/64Journal Discussion 1Andy, Martina, Jeff/
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32/115Kubernetes
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2/136Journal Discussion 2Cynthia, Yiming/
Will, Hardik, Nikhil, Johannes
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42/187Dask
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2/208Journal Discussion 3Jenny, William, Ian/Miro, Joe, Justin
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52/259Practicum
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2/2710Practicum
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63/311Intro to Transfer Learning: Basic Transfer Learning and SOTA Models
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3/512Journal Discussion 4Andy, Martina, Jeff
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73/1013Transfer Learning across Tasks
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3/1214Journal Discussion 5Cynthia, Yiming
Will, Hardik, Nikhil, Johannes
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 3/17Spring Recess
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 3/19
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83/2415Distillation and Compression
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3/2616Journal Discussion 6Jenny, William, IanMiro, Joe, Justin
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93/3117Practicum
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4/218Practicum
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104/719Introduction and Overview of Viz for Deep Models
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4/920Journal Discussion 7Andy, Martina, Jeff
Will, Hardik, Nikhil, Johannes
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114/1421Convolutional Neural Networks for Image Data
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4/1622Journal Discussion 8Cynthia, Yiming
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124/2123Recurrent Neural Networks for Text Data
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4/2324Journal Discussion 9Jenny, William, IanMiro, Joe, Justin
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134/2825Practicum
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4/3026Practicum
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145/527Project
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5/728Project
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155/1229Project
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5/1430Project
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