Research Intern - Computer Vision and Deep Learning Redmond, Washington, United States Up to 50% work from home Research Internships at Microsoft provide a dynamic environment for research careers with a network of world-class research labs led by globally-recognized scientists and engine...
硕士 3天/周 3 发布于 11月27日 职位描述 We are now looking for a DL video Arch Intern! What you’ll be doing: Research, study and improve deep learning networks for video compression Work with architecture engineer on multimedia solutions, including: video/image processing, micro-processor and...
Theano 教学: GitHub - lisa-lab/DeepLearningTutorials: Deep Learning Tutorial notes and code. See the wiki for more info. 如果你还是小白,想入门,请认真阅读并重新实现这个tutorial,做完你就入门了。如果你连numpy之前都没有用过= =,比如当初的我从C#转Python,我会先熟悉numpy,GitHub - rougier/numpy-100...
•团队成员背景多样,覆盖NLP、CV、多模态、图、搜推、数据库等多个领域,CCF A类文章超过150篇;团队获2019年世界人工智能创新大赛的最高荣誉SAIL奖项,2020年国家科学技术进步奖二等奖、杭州市领军型创新团队,2021年中国电子学会科学技术进步奖一等奖; •招生种类包括2023毕业校招生、学术实习生(Research Intern,需发...
Data ScienceNatural Language ProcessingDeep LearningResearch AI Engineer (mentor role - remote)atOpenClassrooms Remote Part-time Remote 2 yearsago Research Engineer - Video LabsatSynthesia If you are looking to join a collaborative, open, high impact team of researchers - this one's for you. ...
Dan is a PhD candidate at Columbia University and Dan is a research science intern at Mosaic ML investigating LLM robustness and efficiency. Dan’s research focuses on understanding biological movement from video using ideas from representation learning, 3D vision, and physical sim...
Deep learning is a subfield of machine learning and it comprises several approaches to tackling the single most important goal of AI research: allowing
尽量避免最热门的那几个领域,分类检测分割这种数据集比较大很难做。根据经验,一般通用领域的数据集都...
KEYWORDS deep learning, neural network, model conversion ∗Most of this author's work is done as an intern at Microsoft Research. †This author's work is done as a full-time employee at Microsoft Research. ‡Corresponding author. 1 INTRODUCTION Deep learning (DL) has become one of the...
“We use the Fire Ignition images Library (FIgLib) dataset, which consists of about 20,000 images across geographically distinct terrains throughout southern California, as the source for the camera data,” said Jaspreet Bhamra, first author on the paper and former machine learning intern at ...