Applied Deep Learning 2024 - Lecture 1 - Introduction to Deep Learning
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Complete Playlist: https://www.youtube.com/playlist?list=PLNsFwZQ_pkE8tSQuU3jN71fmmGFFCi7Dc == Literature == 1. Ian Goodfellow and Yoshua Bengio and Aaron Courville. Deep Learning, 2016 2. Goyal et al. Artificial Intelligence for Diagnosis of Skin Cancer: Challenges and Opportunities, 2019 3. Vinyals et al. StarCraft II: A New Challenge for Reinforcement Learning, 2017 4. Ramesh et al. Zero-Shot Text-to-Image Generation, 2021 5. Lopez et al. Skin lesion classification from dermoscopic images using deep learning techniques, 2017 6. Goyal et al. Artificial Intelligence for Diagnosis of Skin Cancer: Challenges and Opportunities, 2019 7. Chen et al. Evaluating Large Language Models Trained on Code, 2021 8. Microsoft, OpenAI: OpenAI Model Generates Python Code, 2020 9. Leviathan et al. Google Duplex: An AI System for Accomplishing Real-World Tasks over the Phone, 2018 10. John Oliver. Robocalls: Last Week Tonight with John Oliver, 2019 11. Hadjeres et al. DeepBach: A Steerable Model for Bach Chorales Generation, 2017 12. Donahue et al. Piano Genie: An Intelligent Musical Interface, 2018 13. OpenAI. DALL-E: Creating images from text, 2021 14. OpenAI. DALL-E 2: Realistic images and art from a text description, 2022 15. Microsoft. GitHub Copilot: You AI Pair Programmer, 2023 16. DeepMind AlphaStar: Grandmaster level in StarCraft II and Demonstration, 2019 17. Jumper et al. Highly accurate protein structure prediction with AlphaFold, 2021
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