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- [深度模型] Deep Cross Network (DCN) - 知乎
DCN是一个可以同时高效学习低维特征交叉和高维非线性特征的深度模型，不需要人工特征工程的同时需要的计算资源非常低。
- Deep Cross Network （DCN）:深度交叉网络讲解-CSDN博客
深度交叉网络（Deep Cross Network，简称 DCN） 是一种前沿的神经 网络架构，专为大规模推荐系统中的点击率（CTR）预测等任务而设计，由 (Wang et al 2017) 等人提出。
- 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
- 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。
- DCN Dx - IVD CDMO and CRO
“Our experience with DCN has been nothing short of outstanding Their deep understanding of diagnostics, especially in the molecular realm, was exactly what we needed Their team stood out with excellent communication, flexibility, and responsiveness, meeting our needs at every turn ”
- Deep Cross Network (DCN) | TensorFlow Recommenders
In the following, we will first show the advantage of DCN with a toy example, and then we will walk you through some common ways to utilize DCN using the MovieLen-1M dataset
- Diagnostic Center, Northern California (DCN)
The Diagnostic Center, Northern (DCN) California provides expert, interdisciplinary teams of diagnostic professionals who address the unique educational needs of Northern California's most difficult-to-serve students enrolled in special education programs
- 可变形卷积（DCN，Deformable Convolution Network） - CSDN博客
本文详细介绍了可变形卷积（DCN）的概念及其在计算机视觉任务中的应用。 从DCN的基本原理出发，深入探讨了其如何通过引入偏移量解决传统卷积在处理不同尺度和形变物体时的问题，并对比了DCN与标准卷积的不同之处。
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