David의 개발 이야기!

원본 논문은 아래와 같다. https://arxiv.org/abs/2103.00020 Learning Transferable Visual Models From Natural Language Supervision State-of-the-art computer vision systems are trained to predict a fixed set of predetermined object categories. This restricted form of supervision limits their generality and usability since additional labeled data is needed to specify any other visual co arxiv.org 0. Abstract 일..

https://arxiv.org/abs/1408.5882 Convolutional Neural Networks for Sentence Classification We report on a series of experiments with convolutional neural networks (CNN) trained on top of pre-trained word vectors for sentence-level classification tasks. We show that a simple CNN with little hyperparameter tuning and static vectors achieves excell arxiv.org 원본 논문은 여기서 볼 수 있다! 전체내용을 번역하는 것이 아닌, 핵심 내..

https://arxiv.org/abs/1509.01626 Character-level Convolutional Networks for Text Classification This article offers an empirical exploration on the use of character-level convolutional networks (ConvNets) for text classification. We constructed several large-scale datasets to show that character-level convolutional networks could achieve state-of-the arxiv.org 원본 논문은 여기에서 볼 수 있다! CharCNN 논문은, 텍스..