Attention Mechanisms in Deep Learning Recommendation Models: A Survey

This article surveys the application of attention mechanisms in deep learning recommendation systems, reviewing models such as AFM, DIN, DIEN, DSIN, Behavior Sequence Transformer, Deep Spatio‑Temporal Networks, and ATRank, and discusses their architectures, attention types, advantages, and limitations.

CTR predictionDeep LearningRecommendation Systems

0 likes · 10 min read

Attention Mechanisms in Deep Learning Recommendation Models: A Survey

Architecture Digest

Sep 30, 2017 · Artificial Intelligence

Overview of Prominent Deep Learning Architectures for Computer Vision

This article surveys recent progress in deep learning by presenting key computer‑vision architectures such as AlexNet, VGG, GoogleNet, ResNet, ResNeXt, RCNN, YOLO, SqueezeNet, SegNet and GANs, providing brief descriptions, their advantages, and links to original papers and Keras implementations.

Computer VisionDeep LearningKeras

0 likes · 16 min read

Overview of Prominent Deep Learning Architectures for Computer Vision