AboutBioengineering; Communication, Networking and Broadcast Technologies; Components, Circuits, Devices and Systems; Computing and Processing; Engineering Profession; General Topics for Engineers; Geoscience; Power, Energy and Industry Applications; Robotics and Control Systems; Signal Processing and Analysis
Keywords:Machine Learning System Design,Machine Learning Optimization,Supervised Learning,Unsupervised Learning,Reinforcement Learning,Statistical Learning,Transfer learning,Adversarial Machine Learning,Deep Neural Networks Optimization Algorithms,Deep Feedforward Networks,Regularization,Deep Convolutional Neural Networks,Deep Recurrent Neural Networks,Sequence Modelling,Tensors for Deep Learning,Biomedical informatics,Computational Biology,Smart Healthcare,Human Activity Recognition,CompuNatural Languag
Scope:This conference aims to broaden its scope in the areas of Machine Learning and Deep Learning by including expert speeches and presentations from young researchers in each session. The conference aims to enhance the state-of-the-art in Machine Learning and Deep Learning, as well as other promising areas of computing, by encouraging fresh, high-quality research discoveries and inventive solutions to tough machine learning challenges. Researchers, academicians, and professionals from all over the world are invited to submit original, unpublished research papers from all perspectives, including theory, practice, experimentation, and review papers highlighting specific research domains for presentation in the conference's technical sessions.
Sponsor Type:1; 9