Abstract: Transfer learning in robotics aims to transfer knowledge across different robot agents or tasks. Current methods in trajectory tracking problems leverage ...

Learn about DenseNet, one of the most powerful deep learning architectures, in this beginner-friendly tutorial. Understand its structure, advantages, and how it’s used in real-world AI applications.

The choice between PyTorch and TensorFlow remains one of the most debated decisions in AI development. Both frameworks have evolved dramatically since their inception, converging in some areas while ...

College of Computer Science and Technology, Changchun Normal University, Changchun, China Accurate and cost-effective mapping of soil organic carbon (SOC) is critical for understanding carbon dynamics ...

National Key Laboratory of Advanced Micro and Nano Manufacture Technology, Shanghai Jiao Tong University, Shanghai 200240, China Department of Micro/Nano Electronics, School of Electronic Information ...

Introduction: Skin diseases significantly impact individuals' health and mental wellbeing. However, their classification remains challenging due to complex lesion characteristics, overlapping symptoms ...

Abstract: Deep multi-agent reinforcement learning (DMARL) can derive the optimal control rules for systems in which multiple agents interact with each other and has been used in various fields. Since ...

All of the course materials for the Zero to Mastery Deep Learning with TensorFlow course. This course will teach you the foundations of deep learning and how to build and train neural networks for ...