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Announcements: Project Stage 1 Report will be Due by 11:59PM of Jan 20.
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WeekDatesTopicsTextbook ReadingExtra Readings (T)Extra Readings (R)HomeworkExamProjectSlides (T)Slides (R)
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11.10 1.12-- Introduction
-- ML Basics		-- Chapter 2 (Optional)
-- Chapter 5		-- ML Basics-- Introduction-- Machine Learning
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21.17 1.19-- ML Basics & Project
-- Optimization		-- Chapter 7
-- Chapter 8		-- Project Description-- Gradient DescentStage 1
(Team Formation & Environment Setup)
Due by 11:59pm, Friday
Submit to Canvas		-- Project-- Optimization
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31.24 1.26-- DL Basics-- Chapter 6
-- Sec 2.6 of ML Basics
-- Chapter 14		-- Brain Tutorial 1 (Optional)-- Brain Tutorial 2 (Optional)-- Deep LearningNA
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41.31 2.2-- Auto-Encoder
-- CNN		-- Chapter 9
-- Chapter 12		VAE (Section 2, Optional)-- CNNStage 2
(MLP with Pytorch)
Due by 11:59pm, Friday
Submit to Canvas		-- Autoencoder-- CNN
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52.7 2.9-- GAN
-- Computer Vision		-- Chapter 20-- GAN-- Homework 1
Due by 11:59pm, Friday
Submit to Canvas		-- GAN-- CV
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62.14 2.16-- 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, Sunday
Submit to Canvas		-- Mid-termNA
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72.21 2.23-- RNN
-- LSTM		-- Chapter 10
-- LSTM Tutorial--Transformer Tutorial-- Attention Paper (Optional)-- RNNNA
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82.28 3.2-- Word Embedding
-- Transformer & BERT		-- Chapter 12-- Transformer-- BERTStage 4
(Text Classification and Generation with RNN)
Due by 11:59pm, Sunday
Submit to Canvas		-- Word Embedding-- Transformer
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93.7 3.9-- GNN
-- Network Embedding		-- GAT-- GCN-- NE-- GNN-- Graph Embedding
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103.14 3.16-- Graph-Bert
--- Final Overview		-- Graph-Bert-- GResNet-- Homework 2
(Optional, No Need to Submit)		Stage 5
(Graph Classification with GCN)
Due by 11:59pm, Friday
No Extension. Submit to Canvas		-- Graph-Bert-- Final
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11Final Exam Week-- Final Exam
March 18 and 19		-- Final Exam
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