3.6 卷积神经网络【stanford-cs329p】

May 12 stanford-cs329p Comments Word Count: 560(words) Read Count: 2(minutes)

3.5 多层感知机【stanford-cs329p】

May 12 stanford-cs329p Comments Word Count: 252(words) Read Count: 1(minutes)

3.4 随机梯度下降【stanford-cs329p】

May 12 stanford-cs329p Comments Word Count: 304(words) Read Count: 1(minutes)

ACL-2019 Improving Robustness of Neural Machine Translation with Multi-task Learning

May 11 PaperNote CL, cs.Transformer Comments Word Count: 1k(words) Read Count: 3(minutes)

3.3 最简单也同样最常用的线性模型【stanford-cs329p】

May 10 stanford-cs329p Comments Word Count: 509(words) Read Count: 2(minutes)

3.2 最简单也最常用的决策树【stanford-cs329p】

May 10 stanford-cs329p Comments Word Count: 392(words) Read Count: 1(minutes)

Google-2022 Pathways：Asynchronous Distributed Dataflow for ML

May 10 PaperNote OS Comments Word Count: 1.5k(words) Read Count: 5(minutes)

ICML-2021 Is Space-Time Attention All You Need for Video Understanding

May 2 PaperNote CV, cs.Video Comments Word Count: 393(words) Read Count: 1(minutes)

ICCV-2019 SlowFast Networks for Video Recognition

May 2 PaperNote CV, cs.Video Comments Word Count: 285(words) Read Count: 1(minutes)

CVPR-2018 A Closer Look at Spatiotemporal Convolutions for Action Recognition

May 2 PaperNote CV, cs.Video Comments Word Count: 542(words) Read Count: 2(minutes)