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Announcements:
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WeekDatesTopicsTextbook ReadingExtra Readings (1)Extra Readings (2)HomeworkExamProjectSlides (1)Slides (2)
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19.24-- Introduction
-- ML Basics		-- Introduction
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29.29 10.1-- ML Basics & Project-- Chapter 2 (Optional)
-- Chapter 5		-- ML Basics-- ML Basics-- Projects
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310.6 (no class) 10.8-- Optimization-- Chapter 7
-- Chapter 8		-- Project Description-- Gradient DescentStage 1
(Team Formation & Environment Setup)
Due by 11:59pm, Friday
Submit to Canvas		-- Optimization
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410.13 10.15-- Optimization
-- DL Basics		-- Chapter 6
-- Sec 2.6 of ML Basics
-- Chapter 14		-- Brain Tutorial 1 (Optional)-- Brain Tutorial 2 (Optional)-- DL Basics
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510.20 10.22-- Auto-Encoder
-- CNN		-- Chapter 9
-- Chapter 12		VAE (Section 2, Optional)-- CNNStage 2
(MLP with Pytorch)
Due by 11:59pm, Friday
Submit to Canvas
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610.27 10.29-- GAN
-- Computer Vision		-- Chapter 20-- GAN-- Homework 1
Due by 11:59pm, Friday
Submit to Canvas
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711.3 11.5 (mid-term)-- Mid-Term Overview
-- Mid-Term Exam		GPT-1 (Optional)GPT-2 (Optional)GPT-3 (Optional)-- Mid-term ExamStage 3
(Image Classification with CNN)
Due by 11:59pm, Friday
Submit to Canvas
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811.10 11.12-- RNN & LSTM
-- Word Embedding		-- Chapter 10
-- LSTM Tutorial-- Attention Paper (Optional)--Transformer Tutorial
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911.17 11.19-- Transformer & BERT
-- GNN		-- Chapter 12-- Transformer-- BERTStage 4
(Text Classification and Generation with RNN)
Due by 11:59pm, Friday
Submit to Canvas
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1011.24 11.26 (no class)-- GNN
-- Network Embedding		-- GAT-- GCN-- NE
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1112.1 12.3-- Graph-Bert
--- Final Overview		-- Graph-Bert-- GResNet-- Homework 2
Due by 11:59pm, Friday
Submit to Canvas		Stage 5
(Graph Classification with GCN)
Due by 11:59pm, Friday
Submit to Canvas
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12Final Exam Week-- Final Exam
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