[Model]PyTorch로 VGG network 구현하기
VGG VGG Net ¶ 의의 1) Alex Net(conv net기반 model의 전성기를 열은 network)이후 conv net기반 model의 layer를 깊게 쌓을수록 성능이 좋아질 것이라는 예측을 실험적으로 보임 2) 작은 kernel_size (3x3)를 이용하여 model의 성능을 끌어올림 paper: https://arxiv.org/pdf/1409.1556.pdf ref(how to make VGG with PyTorch, youtuber: Aladdin Persson): https://www.youtube.com/watch?v=ACmuBbuXn20&list=PLhhyoLH6IjfxeoooqP9rhU3HJIAVAJ3Vz&index=17 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 from IPython import display 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 /content/drive /content/drive/My Drive/model...