Textbook (Wikidocs) :

01-01 코랩(Colab)과 아나콘다 - PyTorch로 시작하는 딥 러닝 입문 (wikidocs.net)

Supplementary resources : (구글) 머신러닝 소개  |  Machine Learning  |  Google for Developers

(텐서플로우) TensorFlow Hub

Study Log

Brief comparison : Pytorch vs TensorFlow

• Appropriate for testing and investigation | - Static graph
• Ready for deployment and production | | Architecture | - Dynamic computing graph that can be altered at any time
• Adequate for scientific investigation | - Static computation graph, which is defined only once and used again
• Perfect for putting into production | | Ease of Use | - Python-based UI
• Simple enough for both developers and novices | - Higher learning curve yet more features than before
• Wide range of high-level APIs accessible. |