Neural Networks 24

In the rapidly evolving domain of computational problem-solving, this book delves into the cutting-edge Automatic Generation of Algorithms (AGA) paradigm, a groundbreaking approach poised to redefin……続きを見る

This comprehensive guide addresses key challenges at the intersection of data science, graph learning, and privacy preservation. It begins with foundational graph theory, covering essential definiti……続きを見る

Expansive overview of theory and practical implementation of networks in investment management Guided by graph theory, Network Models in Finance: Expanding the Tools for Portfolio and Risk Managemen……続きを見る

This book discusses how AI or Artificial Intelligence affects our daily lives now and where it will leading us to. I believed almost, if not, all industries now are affected by AI. Is this good or b……続きを見る

Theoretical Mechanics of Biological Neural Networks presents an extensive and coherent discusson and formulation of the generation and integration of neuroelectric signals in single neurons. The app……続きを見る

This book provides insights into how AI is changing legal practice, government processes, and individuals’ access to those processes, encouraging each of us to consider how technological advances ar……続きを見る

Industrial Internet of Things: An Introduction explores the convergence of IoT and machine learning technologies in transforming industries and advancing economic growth. This comprehensive guide ex……続きを見る

The objective of the series has always been to provide a forum in which leading contributors to an area can write about significant bodies of research in which they are involved. The operating proce……続きを見る

Unleashing the Power of Computer Vision with PyTorch 2.0. Key Features ● Covers core to advanced Computer Vision topics with PyTorch 2.0's latest features and best practices. ● Progressive learning ……続きを見る

Divided into two volumes, this book develops guiding principles for higher education institutions to use GenAI effectively and ethically in teaching and learning, articulating a roadmap for implemen……続きを見る

Master TensorFlow, Keras, and PyTorch for deep learning in AI applications. Learn neural networks, CNNs, RNNs, LSTMs, and GANs through hands-on exercises and real-world projects.Key FeaturesTensorFl……続きを見る

Unleashing the Power of Computer Vision with PyTorch 2.0. Book DescriptionIn an era where Computer Vision has rapidly transformed industries like healthcare and autonomous systems, PyTorch 2.0 has b……続きを見る

Unleashing the Power of Computer Vision with PyTorch 2.0. Key Features ● Covers core to advanced Computer Vision topics with PyTorch 2.0's latest features and best practices. ● Progressive learning ……続きを見る

Traditionally, neural networks and wavelet theory have been two separate disciplines, taught separately and practiced separately. In recent years the offspring of wavelet theory and neural networks-……続きを見る

In recent years, intelligent control has emerged as one of the most active and fruitful areas of research and development. Until now, however, there has been no comprehensive text that explores the ……続きを見る

Integrate large language models into your enterprise applications with advanced strategies that drive transformationKey FeaturesExplore design patterns for applying LLMs to solve real-world enterpri……続きを見る

Solve machine learning engineering challenges for GenAI applications on AWS and automate the LLMOps workflows using AWS services like Amazon Bedrock and Amazon SageMaker Free with your book: DRM-fre……続きを見る

Master advanced spaCy techniques, including custom pipelines, LLM integration, and model training, to build NLP solutions efficientlyKey FeaturesBuild end-to-end NLP workflows, from local developmen……続きを見る

In response to the exponentially increasing need to analyze vast amounts of data, Neural Networks for Applied Sciences and Engineering: From Fundamentals to Complex Pattern Recognition provides scie……続きを見る

Although the field of intelligent systems has grown rapidly in recent years, there has been a need for a book that supplies a timely and accessible understanding of this important technology. Fillin……続きを見る

Computational models of neural networks have proven insufficient to accurately model brain function, mainly as a result of simplifications that ignore the physical reality of neuronal structure in f……続きを見る

Offering a wide range of programming examples implemented in MATLAB, Computational Intelligence Paradigms: Theory and Applications Using MATLAB presents theoretical concepts and a general framework ……続きを見る

Rapid advancements in the application of soft computing tools and techniques have proven valuable in the development of highly scalable systems and resulted in brilliant applications, including thos……続きを見る

Though mathematical ideas underpin the study of neural networks, the author presents the fundamentals without the full mathematical apparatus. All aspects of the field are tackled, including artific……続きを見る

You've decided to tackle machine learning - because you're job hunting, embarking on a new project, or just think self-driving cars are cool. But where to start? It's easy to be intimidated, even as……続きを見る

The mystique of biologically inspired (or bioinspired) paradigms is their ability to describe and solve complex relationships from intrinsically very simple initial conditions and with little or no ……続きを見る

Artificial neural networks (ANN) can provide new insight into the study of composite materials and can normally be combined with other artificial intelligence tools such as expert system, genetic al……続きを見る

In the neon-lit sprawl of New Esperantーa metropolis where glass towers and digital shadows conceal the sins of financeーCaldwell Reese, a forensic accountant of unswerving integrity, uncovers an en……続きを見る

Unleashing the Power of Computer Vision with PyTorch 2.0. Key Features ● Covers core to advanced Computer Vision topics with PyTorch 2.0's latest features and best practices. ● Progressive learning ……続きを見る

Deepfake Detection Unlocked: Python Approaches for Deepfake Images, Videos, Audio Detection. Key Features ● Comprehensive and graded approach to Deepfake detection using Python and its libraries. ● ……続きを見る