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Deep Learning for Beginners
Implement supervised, unsupervised, and generative deep learning (DL) models using Keras and Dopamine with TensorFlow Key FeaturesUnderstand the fundamental machine learning concepts useful in deep learningLearn the underlying mathematical concepts as you implement deep learning models from scratchExplore easy-to-understand examples and use cases that will help you build a solid foundation in DLBook Description With information on the web exponentially increasing, it has become more difficult than ever to navigate through everything to find reliable content that will help you get started with deep learning. This book is designed to help you if you're a beginner looking to work on deep learni...
Food Powders
This useful reference is the first book to address key aspects of food powder technology. It assembles organized and updated information on the physical properties, production, and functionality of food powder, previously unavailable in book form.
Deep Learning from Scratch
With the resurgence of neural networks in the 2010s, deep learning has become essential for machine learning practitioners and even many software engineers. This book provides a comprehensive introduction for data scientists and software engineers with machine learning experience. You’ll start with deep learning basics and move quickly to the details of important advanced architectures, implementing everything from scratch along the way. Author Seth Weidman shows you how neural networks work using a first principles approach. You’ll learn how to apply multilayer neural networks, convolutional neural networks, and recurrent neural networks from the ground up. With a thorough understanding...
Handbook of Materials Characterization
This book focuses on the widely used experimental techniques available for the structural, morphological, and spectroscopic characterization of materials. Recent developments in a wide range of experimental techniques and their application to the quantification of materials properties are an essential side of this book. Moreover, it provides concise but thorough coverage of the practical and theoretical aspects of the analytical techniques used to characterize a wide variety of functional nanomaterials. The book provides an overview of widely used characterization techniques for a broad audience: from beginners and graduate students, to advanced specialists in both academia and industry.
Becoming Dr. Q
Today he is known as Dr. Q, an internationally renowned neurosurgeon and neuroscientist who leads cutting-edge research to cure brain cancer. But not too long ago, he was Freddy, a nineteen-year-old undocumented migrant worker toiling in the tomato fields of central California. In this gripping memoir, Alfredo Quiñones-Hinojosa tells his amazing life story—from his impoverished childhood in the tiny village of Palaco, Mexico, to his harrowing border crossing and his transformation from illegal immigrant to American citizen and gifted student at the University of California at Berkeley and at Harvard Medical School. Packed with adventure and adversity—including a few terrifying brushes with death—Becoming Dr. Q is a testament to persistence, hard work, the power of hope and imagination, and the pursuit of excellence. It’s also a story about the importance of family, of mentors, and of giving people a chance.
Essentials of Metaheuristics (Second Edition)
Interested in the Genetic Algorithm? Simulated Annealing? Ant Colony Optimization? Essentials of Metaheuristics covers these and other metaheuristics algorithms, and is intended for undergraduate students, programmers, and non-experts. The book covers a wide range of algorithms, representations, selection and modification operators, and related topics, and includes 71 figures and 135 algorithms great and small. Algorithms include: Gradient Ascent techniques, Hill-Climbing variants, Simulated Annealing, Tabu Search variants, Iterated Local Search, Evolution Strategies, the Genetic Algorithm, the Steady-State Genetic Algorithm, Differential Evolution, Particle Swarm Optimization, Genetic Programming variants, One- and Two-Population Competitive Coevolution, N-Population Cooperative Coevolution, Implicit Fitness Sharing, Deterministic Crowding, NSGA-II, SPEA2, GRASP, Ant Colony Optimization variants, Guided Local Search, LEM, PBIL, UMDA, cGA, BOA, SAMUEL, ZCS, XCS, and XCSF.
Tourism
Tourism is that area of activity of contemporary man that touches on various fields of human interest. Representatives of numerous academic disciplines find it intriguing for its exceptionally interdisciplinary character. Conditions for and consequences of the development of tourism are investigated, among others, by economists, geographers, sociologists, experts in culture, anthropologists, management and social policy specialists and even by representatives of some natural sciences. Researchers dealing with tourism need to meet strict methodological requirements, but they get access to a very interesting subject of scientific inquiry, which combines social, cultural, economic and environmental aspects to create an ontologically new quality offering epistemological challenges.
Understanding Emotional Intelligence
"This book looks at the topic of emotional intelligence from a variety of perspectives, including adolescence, bullying, intimate relationships, and more. Chapter One describes the origin of the concept of emotional intelligence, the change and evolution of emotional intelligence throughout childhood and adolescence, and reviews published findings on the relationship of emotional intelligence with socio-emotional adjustment and bullying behavior. Chapter Two analyzes the role that emotional intelligence might play in establishing effective, stable, healthy, and happy intimate relationships. The third chapter provides a synthesized historical overview of the notion of emotions and the nature ...
Protocols for Macroalgae Research
This book presents a wide range of tested and proven protocols relevant to a number of fields within biotechnology used in laboratory experiments in everyday phycological (seaweed) research. A major focus will be on bioenergy related aspects of this emerging technology. These protocols will be written in a clear and concise manner using simple language permitting even nonspecialist to adequately understand the significance of this research. It will also contain all necesssary notes and guidelines for successful execution of these experiments.
2020 International Conference on Computational Science and Computational Intelligence (CSCI)
Based on IEEE taxonomy, CSCI is directly related to many of IEEE Computer Society s fields of interest (BUT note that in this conference we DO NOT plan to consider topics that are theoretical in nature such as automatic proof based systems, solutions to open problems in mathematics, ) Using IEEE classifications taxonomy, please find below a representative list of fields of interest for the conference In summary we are interested in all aspects of computational science and computational intelligence and applications Note that you will find many repetitions in the list of topics that appears below (this is due to the fact that the same repetitions also appear in the IEEE list) Broadcast Technology Digital video broadcasting, Motion pictures Communications Technology Denial of service attack, Computer networks, Internet, Multiprocessor interconnection networks, Network security, Peer to peer computing, Software defined networking, Virtual private networks, Digital images
