Trends in Deep Learning Methodologies: Algorithms, Applications, and Systemscovers deep learning approaches such as neural networks, deep belief networks, recurrent neural networks, convolutional neural networks, deep auto-encoder, and deep generative networks, which have emerged as powerful computational mo...
Deep learning with stock indicators and two-dimensional principal component analysis for closing price prediction system The stock market is an important component in the current economic market. And stock price prediction has recently garnered significant interest among inve... T Gao,L Xiu,Y Chai,...
The success of deep learning has been a catalyst to solving increasingly complex machine-learning problems, which often involve multiple data modalities. We review recent advances in deep multimodal learning and highlight the state-of the art, as well as gaps and challenges in this active research...
如此优秀的研究,其应用领域之广那是不言而喻,所以我决定好好的把近几年基于图像构建3D的文献了解一下,并且把读文献时的一些笔记和文献摘要也分享在这个专栏里,而第一篇文献我找的是该领域的一篇综述论文:《Image-Based 3D Object Reconstruction: State-of-the-Art and Trends in the Deep Learning Era》( 基...
原文名称:Deep Learning for NLP (Natural Language Processing): Advancements & Trends 原文链接:https://tryolabs.com/blog/2017/12/12/deep-learning-for-nlp-advancements-and-trends-in-2017/ Over the past few years,Deep Learning(DL) architectures and algorithms have made impressive advances in fields...
The trend toward smaller models will be driven as much by necessity as by entrepreneurial vigor, as cloud computing costs increase as the availability of hardware decrease. “The big companies (and more of them) are all trying to bring AI capabilities in-house, and there is a bit of a run...
(eg, MLOps, federated learning) Novel architecture paradigms focusing on orchestration of infrastructure, increasing resilience, flexibility, and speed (e.g., decoupled, microservice-based) Dedicated hardware delivering increased computing power, diffused through new levels ...
All of these require more ecosystems with open technologies, open resources, and even open protocols, for collaborations in the industry. Open technologies, such as container technology and virtualization technology, have significant potential for our industry, which are making hardware products more open...
The research progress in multimodal learning has grown rapidly over the last decade in several areas, especially in computer vision. The growing potential