were rnns all we needed? 썸네일형 리스트형 Were RNNs All We Needed? https://arxiv.org/abs/2410.01201 Were RNNs All We Needed?The introduction of Transformers in 2017 reshaped the landscape of deep learning. Originally proposed for sequence modelling, Transformers have since achieved widespread success across various domains. However, the scalability limitations of Transformers -arxiv.org 초록2017년 Transformer의 등장은 딥러닝의 전반적인 지형을 크게 바꾸어 놓았습니다. 원래는 시퀀스 모델링을 위해 고안되었지만.. 더보기 이전 1 다음
