[Day 36] Intro to PyTorch
안녕하세요? 오늘은 Day 36입니다! IBM's DL with PyTorch PyTorch Project: Handwritten Digit Recognition Facial Expression Recognition with PyTorch 및 Deep Learning with PyTorch : Object Localization Tesla autopilot and ChatGPT apparently use PyTorch, so for some time I have been wanting to see what PyTorch is like. Given that I wanna go deeper into computer vision and self-driving cars, I wanted to "get my hands dirty". 1) IBM's DL with PyTorch I did IBM's DL with PyTorch and it was good, but not very practical. It assumes I have no DL knowledge, but it was not that bad, just a refresher on loss, activations, back and forward prop, gradient descent, etc. 파이토치의 라이브러리는 텐서플로보다 더 직접적으로 다 정의해야 하는 것이다. 어떤 단순한 것에 적용해야지 ~ 라고 생각했다 2) PyTorch Project: Handwritten Digit Recognition 그래서 이 분의 튜터리얼 프로젝트를 딸랐다 사실 이 2023년 여름에 머신러닝 처음 공부했을 때 이 분의 채널은 도움이 굉장히 되었다. knn, linear regression, logistic regression, 의사결정나무 등등 초보자 위한 튜터리얼 프로젝트들이 너무 좋다 ~ 텐서플로와 차이점 You have to load data with the DataL