Deep Learning Robotics

This book of Advances in Deep Learning, Artificial Intelligence and Robotics (proceedings of ICDLAIR 2020) is intended to be used as a reference by students and researchers who collect scientific and technical contributions with respect to models, tools, technologies and applications in the field of modern artificial intelligence and robotics. Deep Learning, AI and robotics represent key ingredients for the 4th Industrial Revolution.

by Tariq M Arif (Author)
This book provides a short introduction and easy-to-follow implementation steps of deep learning using Google Cloud Platform

Deep Learning with Python for Classification, Semantic and Instance Segmentation, Pose Estimation, and Object Detection

Deep Learning with Python for Classification, Semantic and Instance Segmentation, Pose Estimation, and Object Detection

This book provides the reader with the fundamental knowledge in the area of deep learning with application to visual content mining. The authors give a fresh view on Deep learning approaches both from the point of view of image understanding and supervised machine learning. It contains chapters which introduce theoretical and mathematical foundations of neural networks and related optimization methods. Then it discusses some particular very popular architectures used in the domain: convolutional neural networks and recurrent neural networks.

Deep Learning with Python for Classification, Semantic and Instance Segmentation, Pose Estimation, and Object Detection