深度学习经典、新论文逐段精读

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被55个国家的300所大学用于教学。

Classic papers and resources on recommendation

Papers on Computational Advertising

Easy-to-use,Modular and Extendible package of deep-learning based CTR models for search and recommendation.

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现，项目已得到李沐老师的认可

Recurrence the recommender paper with Tensorflow2.0

刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.

Easy-to-use,Modular and Extendible package of deep-learning based CTR models .

Tensorflow implementation of DeepFM for CTR prediction.

A simplified implemention of Faster R-CNN that replicate performance from origin paper

实现常用基于深度学习的人脸检测算法

VGG19 and VGG16 on Tensorflow

COCO API - Dataset @ http://cocodataset.org/

用PaddlePaddle和Tensorflow实现常用的深度学习算法

实现常用基于深度学习的人脸检测算法 华为媒体研究院 图文Caption、OCR识别、图视文多模态理解与生成相关方向工作或实习欢迎咨询 15757172165 https://guanfuchen.github.io/media/hw_zhaopin_20220724_tiny.jpg