IT/딥러닝15 [61일차] 20-2. transfer_learning.ipynb 2022. 9. 23. [61일차] 18.Reuters 2022-09-21 2022. 9. 21. 17-03. Korean_cnn 🤍2022-09-21🤍 2022. 9. 21. [61일차] 딥러닝 자연어처리분야가 획기적인 발전이 일어남. 텍스트에 적용함. 2016년 Convolutional Neural Networks for Sentence Classification 논문을 씀. 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 hype.. 2022. 9. 21. [60일차] 17-02.EDA_Kor 2022. 9. 20. [60일차] 17-01. Tokenizing 2022. 9. 20. [60일차] 17. 딥러닝을 이용한 자연어처리 🧡2022-09-20🧡 2022. 9. 20. [59일차] 13.dogs-catsLast Dogs vs. Cats 💛2022-09-19💛 https://www.kaggle.com/competitions/dogs-vs-cats/data?select=train.zip 2022. 9. 19. [58일차] 15장. 실제 데이터로 만들어보는 모델 🔵2022-09-16🔵 11. house 12. mnist 13-mnist-cnn 2022. 9. 16. 이전 1 2 다음
