elsevier science technology jun 2021 (3 Ergebnisse)

Taschenbuch. Zustand: Neu. Neuware - Principles and Labs for Deep Learning provides the knowledge and techniques needed to help readers design and develop deep learning models. Deep Learning techniques are introduced through theory, comprehensively illustrated, explained through the TensorFlow source code examples, and analyzed through the visualization of results. The structured methods and labs provided by Dr. Huang and Dr. Le enable readers to become proficient in TensorFlow to build deep Convolutional Neural Networks (CNNs) through custom APIs, high-level Keras APIs, Keras Applications, and TensorFlow Hub. Each chapter has one corresponding Lab with step-by-step instruction to help the reader practice and accomplish a specific learning outcome.

Taschenbuch. Zustand: Neu. Neuware - Aquaculture Facilities and Equipmentis a practical resource on the technical aspects needed for experts in the field to understand a high-performance aquaculture facility, its design and form, and the materials and systems used within the facility. The book is written at a level suitable for both field experts and students alike. It includes topics such as pond construction machinery, pumps for aquaculture, aeration for aquaculture, fish feeders, filtration systems in aquaculture, hatchery, raceways and tanks, and cage and pen culture.

Taschenbuch. Zustand: Neu. Neuware - Information Physics: Physics-Information and Quantum Analogies for Complex Modeling presents a new theory of complex systems that uses analogy across various aspects of physics, including electronics, magnetic circuits and quantum mechanics. The book explains the quantum approach to system theory that can be understood as an extension of classical system models. The main idea is that in many complex systems there are incomplete pieces of overlapping information that must be strung together to find the most consistent model. This incomplete information can be understood as a set of non-exclusive observer results. Because they are non-exclusive, each observer registers different pictures of reality.