Applied Deep Learning 2024 - Lecture 1 - Introduction to Deep Learning

Complete Playlist:    • Applied Deep Learning 2024 - TU Wien  

== 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