Table of Contents

Deep Learning

D1. Books, Tutorials, and References - General Topics

• Understanding Deep Learning, Simon J. D. Prince
• Dive into Deep Learning, Zhang et al.
• Deep Learning, Ian Goodfellow et al.
• NYU DS-GA 1008: Deep Learning, Yann LeCun and Alfredo Canziani (Github)
• MIT Deep Learning and Artificial Intelligence Lectures, Lex Fridman
• 모두를 위한 머신러닝/딥러닝 강의, 김성훈 (in Korean)
  • It includes Season 1 with TensorFlow, Season RL, Season NLP.
  • Season 2 with Pytorch is at the separate website.
• Deep Learning with PyTorch, Eli Stevens, Luca Aniga, and Thomas Viehmann
• A Short ML/DL Tutorial, Sunglok Choi

D2. Books, Tutorials, and References - Specific Topics

D3. Tools - PyTorch

• PyTorch: The official homepage
  • (Local) Installation
    • Note) CUDA Toolkit Archive, NVIDIA: To download a specific version of CUDA
  • Tutorials (translation in Korean)
  • API Reference (everything) and Cheat Sheet (brief summary)

D4. Online Demos

• ConvNetJS, Andrej Karpathy
• TensorFlow Playground

Machine Learning