[Model]PyTorch로 Deep Learning model 구현하기(base model: LeNet)
LeNet LeNet ¶ paper: http://vision.stanford.edu/cs598_spring07/papers/Lecun98.pdf refhow to make LeNet with PyTorch, youtuber: Aladdin Persson: https://www.youtube.com/watch?v=fcOW-Zyb5Bo&list=PLhhyoLH6IjfxeoooqP9rhU3HJIAVAJ3Vz&index=16 만약 convolutional network, pooling 등 CNN의 기본적인 알고리즘에 대해 어떻게 작동하는지 알고 싶으시다면 https://cs231n.github.io/convolutional-networks/ Linear function에 대해 알고 싶으시다면 https://cs231n.github.io/linear-classify/ 작성자 blog: https://self-deeplearning.blogspot.com/ 작성자 github: https://github.com/withAnewWorld/models_from_scratch In [ ]: from google.colab import drive import sys import os drive . mount ( '/content/drive' ) FOLDERNAME = 'models_from_scratch' sys . path . append ( '/contente/drive/My Drive/ {} ' . format ( FOLDERNAME )) % cd /content/drive/My Drive/$FOLDERNAME Mounted at /conten...