搜索结果: 1-6 共查到“会议中心 Deep Learning”相关记录6条 . 查询时间(0.125 秒)
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Condensation in deep learning
深度学习 凝结 神经网络
2023/4/28
Why do neural networks (NN) that look so complex usually generalize well? To understand this problem, we find some simple implicit regularizations during training NNs. The first is the frequency princ...
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：A novel deep learning approach for tourism volume forecasting with tourist search data
游客搜索数据 旅游量预测 深度学习方法
2023/5/8
Tourism volume forecasting is the hot topic in tourism management, and deep learning techniques as the promising tool are becoming popular for capturing the characteristics of tourism volume data, whi...
2017年深度学习的实际应用专题会议（Special Session on Practical Applications of Deep Learning）
2017年 深度学习 实际应用 专题会议
2017/6/23
In the recent years, deep learning methods have emerged as a powerful machine learning method for many fields. Deep learning methods are different from all traditional approaches. They automatically l...
2017计算机图像，视频和三维形状分析深度学习研讨会（Workshop on DEEP LEARNING IN COMPUTER VISION FOR IMAGE, VIDEO AND 3D SHAPE ANALYSIS）
2017 计算机图像 视频 三维形状 分析 深度学习 研讨会
2017/5/22
This tutorial lecture aims at providing an overview of the recent advances around deep learning techniques in computer vision. Some amount of exposure to the modern computer vision and machine learni...
2017智能多媒体分析的深度学习研讨会（Workshop on Deep Learning for Intelligent Multimedia Analytics）(DeLIMMA)
智能多媒体分析的深度学习 研讨会
2017/3/28
Today's digital contents are inherently multimedia: text, image, audio, video etc., due to the advancement of multimodal sensors. Image and video contents, in particular, become a new way of communica...
2017年ACM深度学习技术国际会议(ICDLT 2017) （2017 International Conference on Deep Learning Technologies）
2017年 ACM深度学习技术 国际会议
2017/1/10
Deep learning is the fastest-growing field in artificial intelligence, helping computers make sense of infinite amounts of data in the form of images, sound, and text. Using multiple levels of neural ...