Hands-on projects cover all the key deep learning methods built step-by-step in PyTorchKey FeaturesInternals and principles of PyTorchImplement key deep learning methods in PyTorch: CNNs, GANs, RNNs, reinforcement learning, and moreBuild deep learning workflows and take deep learning models from prototyping to productionBook DescriptionPyTorch Deep Learning Hands-On is a book for engineers who want a fast-paced guide to doing deep learning work with Pytorch.
A complete guide on using data structures and algorithms to write sophisticated C# codeKey FeaturesMaster array, set and map with trees and graphs, among other fundamental data structuresDelve into effective design and implementation techniques to meet your software requirementsExplore illustrations to present data structures and algorithms, as well as their analysis in a clear, visual mannerBook DescriptionData structures allow organizing data efficiently.
Learn how functional programming can help you in deploying web servers and working with databases in a declarative and pure wayKey FeaturesLearn functional programming from scratchProgram applications with side effects in a pure wayGain expertise in working with array tools for functional programmingBook DescriptionIn large projects, it can get difficult keeping track of all the interdependencies of the code base and how its state changes at runtime.
Build exciting 2D/3D games and virtual reality applications with the help of hands-on examplesKey FeaturesCreate five different types of games from scratch with Unity 2018Import custom content into Unity from third-party tools such as Maya and Blender Learn to build NPCs with artificial intelligent behavior.
There have been significant developments in the use of knowledge-based expert systems in chemistry since the first edition of this book was published in 2009.
There have been significant developments in the use of knowledge-based expert systems in chemistry since the first edition of this book was published in 2009.
Master code refactoring techniques, improve code quality, design, and maintainability, and boost your development productivity with this comprehensive handbookKey FeaturesGet a thorough understanding of code refinement for enhanced codebase efficiencyWork with real-world examples and case studies for hands-on learning and applicationFocus on essential tools, emphasizing development productivity and robust coding habitsPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionRefactoring in Java serves as an indispensable guide to enhancing your codebase's quality and maintainability.
Master code refactoring techniques, improve code quality, design, and maintainability, and boost your development productivity with this comprehensive handbookKey FeaturesGet a thorough understanding of code refinement for enhanced codebase efficiencyWork with real-world examples and case studies for hands-on learning and applicationFocus on essential tools, emphasizing development productivity and robust coding habitsPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionRefactoring in Java serves as an indispensable guide to enhancing your codebase's quality and maintainability.
This textbook deals jointly with theoretical and practical concepts within geomatics in civil engineering, based on the global understanding of its use.
Our contemporary age is confronted by a profound contradiction: on the one hand, our lives as workers, consumers and citizens have become ever more monitored by new technologies.
Our contemporary age is confronted by a profound contradiction: on the one hand, our lives as workers, consumers and citizens have become ever more monitored by new technologies.
Learn functional data structures and algorithms for your applications and bring their benefits to your work nowAbout This BookMoving from object-oriented programming to functional programming?
Become an expert at using Python for advanced statistical analysis of data using real-world examplesAbout This BookClean, format, and explore data using graphical and numerical summariesLeverage the IPython environment to efficiently analyze data with PythonPacked with easy-to-follow examples to develop advanced computational skills for the analysis of complex dataWho This Book Is ForIf you are a competent Python developer who wants to take your data analysis skills to the next level by solving complex problems, then this advanced guide is for you.
Concurrent and distributed processes occur everywhere: in embedded systems, in information networks and databases, and in the form of applets roaming around on the World-Wide-Web.
This book explores the security and privacy challenges associated with real-time applications of the Internet of Things (IoT) and wireless sensor networks (WSN) technologies.
Federated Learning for Digital Healthcare Systems critically examines the key factors that contribute to the problem of applying machine learning in healthcare systems and investigates how federated learning can be employed to address the problem.
Edited by professionals with years of experience, this book provides an introduction to the theory of evolutionary algorithms and single- and multi-objective optimization, and then goes on to discuss to explore applications of evolutionary algorithms for many uses with real-world applications.
The aim of this book is to highlight the most promising lines of research, using new enabling technologies and methods based on AI/ML techniques to solve issues and challenges related to intelligent and computing systems.
Level up your Godot 4 networking skills with this comprehensive guide featuring dedicated servers and persistent worlds, illustrated with key images in colorKey FeaturesEnsure player synchronization and coexistence in a game worldMitigate latency in your multiplayer games to design a seamless shared experienceOptimize and debug your games using profilers and monitors to visualize performancePurchase of the print or Kindle book includes a free PDF eBookBook DescriptionThe Essential Guide to Creating Multiplayer Games with Godot 4.
This text covers all of the data science, machine learning, and deep learning topics relevant to materials science and engineering, accompanied by numerous examples and applications.
Mathematics of Networks: Modulus Theory and Convex Optimization explores the question: "e;What can be learned by adapting the theory of p-modulus (and related continuum analysis concepts) to discrete graphs?
A complete guide on using data structures and algorithms to write sophisticated C# codeKey FeaturesMaster array, set and map with trees and graphs, among other fundamental data structuresDelve into effective design and implementation techniques to meet your software requirementsExplore illustrations to present data structures and algorithms, as well as their analysis in a clear, visual mannerBook DescriptionData structures allow organizing data efficiently.
Mathematics of Networks: Modulus Theory and Convex Optimization explores the question: "e;What can be learned by adapting the theory of p-modulus (and related continuum analysis concepts) to discrete graphs?
This combinatorics text provides in-depth coverage of recurrences, generating functions, partitions, and permutations, along with some of the most interesting graph and network topics, design constructions, and finite geometries.
Focusing on algorithms for distributed-memory parallel architectures, Parallel Algorithms presents a rigorous yet accessible treatment of theoretical models of parallel computation, parallel algorithm design for homogeneous and heterogeneous platforms, complexity and performance analysis, and essential notions of scheduling.
Algorithms and Theory of Computation Handbook, Second Edition: General Concepts and Techniques provides an up-to-date compendium of fundamental computer science topics and techniques.
