보미의 Tech Blog

강의복습 1. Image classification II 더보기 1) Problems with deeper layers Gradient vanishing / exploding Computationally coomplex Degradation 2) CNN architectures for image classification 2 GoogLeNet 채널 개수 줄이기 위해 1×1 convolution 적용 Stem network Stacked inception modules Auxiliary classifiers Classifier output (a single FC layer) ResNet Degradation 문제 해결하기 위해 Shortcut connection 적용 기타 DenseNet SENet Eff..

강의복습 1. Image classification 1 더보기 1) Course overview 2) Image classification k Nearest Neighbors(k-NN) Convolutional Neural Netwoks(CNN) 3) CNN architectures for image classification 1 AlexNet VGGNet GoogLeNet ResNet DenseNet, SENet, EfficientNet 2. Annotation data efficient learning 더보기 1) Data augmentation Brightness adjustment Rotate, flip Crop Affine transformation CutMix 2) Leveraging pre-..