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å PART1 Module ΰ ˾ƺModule 1 ΰ ! - AI ΰ Intro ΰ ΰ Using AI 4 About AI ΰ о ΰ ̽ Applying AI ΰ = й Ȯ ! Module 2 ġ - Ƽó ӽIntro ΰ Բ нϴ ΰ Using AI Ƽó ӽ(Teachable Machine) ΰ About AI н(Machine Learning) н(Supervised Learning) н(Unsupervised Learning) Applying AI 츮 ݵ 踦 ġ ִ Ȯ ! Module 3 ó - MS ӽŷ ƩIntro ij(Kaggle) ijۿ м ó Using AI ӽŷ Ʃ ŸŸ ž ϱ Applying AI ƽ ȸ Ȯ ! Module 4 ī(WEKA) ǻ Ʈ Intro Ȳ Using AI ̴ Ʈ - ī(WEKA) About AI ǻ Ʈ Ҽ ȮǼ Applying AI м(Clustering Analysis) Ȯ ! Module 5 ΰɰ - ̹ νIntro Seeing AI Using AI , (QUICK, DRAW) нŰ (Auto Draw) ϼϱ About AI ó ռ Ű(CNN: Convolutional Neural Network) Applying AI ռ Ű(CNN) Ȱϱ Ȯ ! Module 6 ΰɰ ȭϱ - ê Intro ϶ ȿ(ELIZA Effect)Using AI ̾α÷(Dialogflow) ê About AI ý 絵 м ߷ ȯ Ű(RNN) ̿ ڿ ó ڿ ó (NLP; Natural Language Processing) Applying AI ڿ ó 뵵 Ȯ ! Module 7 Ű, GAN(Generative Adversarial Network)Intro ˰ ˰: ˰ Using AI Image-to-Image Demo(Pix2Pix GAN) ټ÷ GAN ϱ About AI н Applying AI cycleGAN ռ Ű(DCGAN) ̿(Real-eye-opener(ExGAN)) Ȯ ! PART2 Project ΰ Project 0 IBM ӽ ΰ غϱ ӽŷ Ű Ʈ ѷ ӽŷ Ű α α Project 1 Ÿ ǥ Intro ѱ ä ΰ ̴ Ʈ н ΰ α α Preview α غϱ αϱ α Ȯϱ Project 2 α Intro ΰ ̴ Ʈ н ΰ α α Preview α غϱ αϱ α ̵ Ȯϱ Ȯϱ IntroUsing AIProject 3 ̸ ϴ AIAbout AIIntro AI ̹ ν ΰ ̴ Ʈ н ΰ α α Preview α غϱ αϱ α ̵ Ȯϱ Ȯϱ Project 4 û⡯ AboIntro ν ӱ û⡯ ΰ ̴ Ʈ н ΰ α α Preview α غϱ αϱ α ȮϱProject 5 յ ġAbo Intro Ƹ AI ˷硯 ȭ ΰ ν ̷ ΰ ̴ Ʈ Ʒ н ΰ α α Preview α غϱ αϱ α Ȯϱΰ αing AIProject 6 ϶AAbout AIIntro Ϳ ӴϺ ΰ ̴ Ʈ н ΰ Ʈϱ ΰ α α Preview α غϱ αϱ α ̵ Ȯϱ Ȯϱ ying AIApplying AIIntroΰ Project 7 ٴ AAIntro ƽ ƽ ʽ ϱ ΰ Ʈ ̴ ΰ α α Preview α غϱ αϱ Ʒ н ũġ 캸 ̵ Ȯϱ Ȯϱ ying AProject 8 ΰ ݷAAIntro ν ΰɰ ν ΰ κ(AIBO) ΰ ̴ Ʈ ΰ α α Preview α غϱ ũġ αϱ ̵ Ȯϱ Ȯϱ ying A I