Dive deep into Nesterov Accelerated Gradient (NAG) and learn how to implement it from scratch in Python. Perfect for ...

Abstract: Data augmentation is an effective way to overcome the overfitting problem of deep learning models. However, most existing studies on data augmentation work on framelike data (e.g., images), ...

Abstract: The complexity and dynamicity of microservice architectures in cloud environments present substantial challenges to the reliability and availability of the services built on these ...