Deep Learning in Visual Computing and Signal Processing

Covers the fundamentals and advanced topics in designing and deploying techniques using deep architectures and their application in visual computing and signal processing. It discusses deep learning in neural networks and for object recognition and detection models and the specific applications in visual and signal processing.