http://www.wildml.com/2015/11/understanding-convolutional-neural-networks-for-nlp/ Understanding Convolutional Neural Networks for NLP When we hear about Convolutional Neural Network (CNNs), we typically think of Computer Vision. CNNs were responsible for major breakthroughs in Image Classification and are the core of most Compute… www.wildml.com NLP에서 사용되는 CNN - 입력 데이터는 word embedding, 각 행은 한 단..

(사진 출처) 밑바닥부터 시작하는 딥러닝 1권 http://taewan.kim/post/cnn/#fn:1 CNN, Convolutional Neural Network 요약 Convolutional Neural Network, CNN을 정리합니다. taewan.kim 완전연결 계층(Affine)으로 이루어진 네트워크 (ex) input → Affine → ReLU → Affine → ReLU → Affine → ReLU → Affine → Softmax CNN으로 이루어진 네트워크 (ex) input → Conv →ReLU → Pooling → Conv → ReLU → Pooling → Conv → ReLU → Affine → ReLU → Affine → Softmax = (1) 이미지의 특징을 추출하는 ..