copy and paste this google map to your website or blog!
Press copy button and paste into your blog or website.
(Please switch to 'HTML' mode when posting into your blog. Examples: WordPress Example, Blogger Example)
Input Form:Deal with this potential dealer,buyer,seller,supplier,manufacturer,exporter,importer
(Any information to deal,buy, sell, quote for products or service)
[1708. 05123] Deep Cross Network for Ad Click Predictions In this paper, we propose the Deep Cross Network (DCN) which keeps the benefits of a DNN model, and beyond that, it introduces a novel cross network that is more efficient in learning certain bounded-degree feature interactions
Deep Cross Network（DCN）-腾讯云开发者社区-腾讯云 Google 2017年提出DCN模型，改进Wide Deep，新增Cross网络学习交叉特征。 它含Embedding等五层结构，Cross网络用残差形式挖掘特征交叉，与Deep网络并行，提升CTR预测效果，减少人工特征工程。
GitHub - OpenGVLab DCNv4: [CVPR 2024] Deformable Convolution v4 We introduce Deformable Convolution v4 (DCNv4), a highly efficient and effective operator designed for a broad spectrum of vision applications DCNv4 addresses the limitations of its predecessor, DCNv3, with two key enhancements: 1 removing softmax normalization in spatial aggregation to enhance its dynamic property and expressive power and 2 optimizing memory access to minimize redundant
DCN V2: Improved Deep Cross Network and Practical Lessons for Web . . . Deep Cross Network (DCN) was proposed to automatically and efficiently learn bounded-degree predictive feature interactions Unfortunately, in models that serve web-scale traffic with billions of training examples, DCN showed limited expressiveness in its cross network at learning more predictive feature interactions