https://pytorch.org/tutorials/beginner/pytorch_with_examples.html#tensors Learning PyTorch with Examples — PyTorch Tutorials 1.4.0 documentation Learning PyTorch with Examples Author: Justin Johnson This tutorial introduces the fundamental concepts of PyTorch through self-contained examples. At its core, PyTorch provides two main features: An n-dimensional Tensor, similar to numpy but can run on..

https://pytorch.org/tutorials/beginner/blitz/tensor_tutorial.html#sphx-glr-beginner-blitz-tensor-tutorial-py What is PyTorch? — PyTorch Tutorials 1.4.0 documentation Note Click here to download the full example code What is PyTorch? It’s a Python-based scientific computing package targeted at two sets of audiences: A replacement for NumPy to use the power of GPUs a deep learning research platfor..

https://medium.com/@jongdae.lim/%EA%B8%B0%EA%B3%84-%ED%95%99%EC%8A%B5-machine-learning-%EC%9D%80-%EC%A6%90%EA%B2%81%EB%8B%A4-part-1-9a0297198ad8 기계 학습(Machine Learning, 머신 러닝)은 즐겁다! Part 1 (원문 : Machine Learning is Fun! by Adam Geitgey) medium.com 맞았는지/틀렸는지 여부 + 나의 대답 True Positives : O라고 답했고 맞음 (정답O, 나의 출력O) True Negatives : X라고 답했고 맞음 (정답X, 나의 출력X) False Positives : O라고 답했고 틀림 (정답X, 나의 출력O) Fa..

https://towardsdatascience.com/machine-learning-basics-part-1-a36d38c7916 Machine Learning —Fundamentals Basic theory underlying the field of Machine Learning towardsdatascience.com 머신러닝의 유형 1. 감독학습 Supervised Learning 1.1. 분류 Classification → Logistic Regression (반응변수 y가 이산discrete) 1.2. 회귀 Regression → Linear Regression (반응변수 y가 연속continuous) 2. 무감독학습 Unsupervised Learning 3. 강화학습 Reinforcemen..