Deep learning is associate degree future field of machine learning (ML) analysis. It consists of variety of numerous concealed layers of artificial neural networks ANN). Deep learning methods applies nonlinear transformation and high-level model abstraction to giant databases. Recent advances in deep ...
Gattupalli, S, Ghaderi, A., Athitsos, V.: Evaluation of deep learning based pose estimation for sign language recognition. In: Proceedings of the ... S Gattupalli,A Ghaderi,V Athitsos - ACM 被引量: 15发表: 2016年 Recent Advances on Deep Learning for Sign Language Recognition Sign la...
Purpose To investigate diagnostic performance by using a deep learning method with a convolutional neural network (CNN) for the differentiation of liver masses at dynamic contrast agent-enhanced computed tomography (CT). Materials and Methods This clinical retrospective study used CT image sets of liver...
Deep learning methods with powerful automatic feature extraction and end-to-end modeling capabilities can build fault diagnosis models based on raw data without relying on manual feature extraction procedures. In this paper, a comparative study of deep learning-based fault diagnosis methods for rotating...
2.1. Deep learning models Deep learning techniques demonstrated important performance improvements in different applications in the literature. This section is devoted to briefly describe the basic principle of six deep learning models that will be used later for COVID-19 time-series forecasting namely ...
- 《Journal of Tsinghua University》 被引量: 0发表: 2024年 Exploration in Deep Reinforcement Learning: A Survey This paper reviews exploration techniques in deep reinforcement learning. Exploration techniques are of primary importance when solving sparse reward probl... P Ladosz,L Weng,M Kim,......
This finding highlights the great potential of deep learning techniques in the field of dermatological imaging and also emphasizes the urgency of delving deeper into this area in the future. These encouraging results not only provide more reliable diagnostic support for patients with vitiligo but also...
Biomechanics researchers study cheetah movement using novel techniques in robotics, deep learning, and computer vision to build more agile robots.
Deep learning has made significant achievements in many application areas. To train and test models more efficiently, enterprise developers submit and run their deep learning programs on a shared, multi-tenant platform. However, some of the programs fail after a long execution time due to...
of expertise. This is especially important for ESD which is a typical procedure requiring a long learning curve38. We also conducted further validation of our AI model in ESD procedures with unseen operation techniques, i.e., the surgical skills were not present in the developmental dataset. Thr...