논문 https://arxiv.org/abs/1409.4842 Going Deeper with Convolutions We propose a deep convolutional neural network architecture codenamed "Inception", which was responsible for setting the new state of the art for classification and detection in the ImageNet Large-Scale Visual Recognition Challenge 2014 (ILSVRC 2014). The arxiv.org 0. Abstract 본 논문에서는 Inception 모듈을 제안합니다. 해당 구조의 특징은 컴퓨팅 자원의 효율성을 향..
