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

Abstract: Transfer learning refers to the process of transferring the learning from one task to another related task. Transfer learning is especially beneficial in situations where we have limited ...

Members of the research community at Microsoft work continuously to advance their respective fields. Abstracts bring its audience to the cutting edge with them through short, compelling conversations ...

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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 ...

Introduction: Accurate prediction of joint torque is critical for preventing injury by providing precise insights into the forces acting on joints during activities. Traditional approaches, including ...

AI and deep learning are pretty hot technologies right now, what with the accelerating interest in computer vision, image recognition and classification, natural language processing (NLP), and speech ...

I found that if I want to use new pre-trained model, I need a file which is for the graph definition. However, I cannot find this file on the google research blog where the checkpoints and source code ...