The model-based approach for carrying out classification and identification of tasks has led to the pervading progress of the machine learning paradigm in diver

Inequality has become an essential tool in many areas of mathematical research, for example in probability and statistics where it is frequently used in the pro

This book covers both classical and modern models in deep learning. The primary focus is on the theory and algorithms of deep learning. The theory and algorithm

The twenty last years have been marked by an increase in available data and computing power. In parallel to this trend, the focus of neural network research and

Deep Learning for Robot Perception and Cognition introduces a broad range of topics and methods in deep learning for robot perception and cognition together wit