You may have to Search all our reviewed books and magazines, click the sign up button below to create a free account.
None
Deep learning and image processing are two areas of great interest to academics and industry professionals alike. The areas of application of these two disciplines range widely, encompassing fields such as medicine, robotics, and security and surveillance. The aim of this book, ‘Deep Learning for Image Processing Applications’, is to offer concepts from these two areas in the same platform, and the book brings together the shared ideas of professionals from academia and research about problems and solutions relating to the multifaceted aspects of the two disciplines. The first chapter provides an introduction to deep learning, and serves as the basis for much of what follows in the subsequent chapters, which cover subjects including: the application of deep neural networks for image classification; hand gesture recognition in robotics; deep learning techniques for image retrieval; disease detection using deep learning techniques; and the comparative analysis of deep data and big data. The book will be of interest to all those whose work involves the use of deep learning and image processing techniques.
None
This is the true story behind General Alexander Orlov, the man who never was, now revealed in full for the first time: Stalinist henchman, Soviet spy, celebrated defector to the West, and central character in the greatest KGB deception ever.
A powerful collection of readily reproducible cutting-edge techniques for characterizing the ligand or substrate binding of neurotransmitter receptors and transporters. The procedures cover interdisciplinary interactions for monoamine transporters, amino acid transporters, ionotropic receptors, metabotropic glutamate receptors, GABA receptors, and other G protein-coupled receptors. By illuminating how neurons in the central nervous communicate with other, these techniques can lead to the development of novel therapeutic strategies for neurological diseases.