Neural networks and fuzzy systems Books

Enhance your data science skills with this updated edition featuring new chapters on LLMs, temporal graphs, and updated examples with modern frameworks, including StellarGraph, PyTorch Geometric, and DGLKey Features:- Master new graph ML techniques...

The book develops a view of AI rooted in the theories and values of Information Science (the social science of knowledge) focusing on whether AI is transforming knowledge access and creation in a significantly positive, equitable, inclusive and...

This reference text presents the usage of artificial intelligence in healthcare and discusses the challenges and solutions of using advanced techniques like wearable technologies and image processing in the sector.Features:Focuses on the use of...

This book is a detailed reference on biomedical applications using Deep Learning. Because Deep Learning is an important actor shaping the future of Artificial Intelligence, its specific and innovative solutions for both medical and biomedical are very...

The classification of patterns is an important area of research which is central to all pattern recognition fields, including speech, image, robotics, and data analysis. Neural networks have been used successfully in a number...

The book explores edge intelligent techniques and solutions that can be incorporated into IoT-enabled applications. It paves way for researchers and innovators to rethink the application of edge intelligent techniques for their problem domains.

"Coding Creativity - How to Build a Chatbot or Art Generator from Scratch with Bonus: The AI Prompting Bible" is a unique and practical self-help book that provides readers with the tools and knowledge to tap into the power of artificial...

Get hands-on with GPT 3.5, GPT 4, LangChain, Llama 2, Falcon LLM and more, to build LLM-powered sophisticated AI applicationsKey FeaturesEmbed LLMs into real-world applicationsUse LangChain to orchestrate LLMs and their components within...

Dramatically accelerate the building process of complex models using PyTorch to extract the best performance from any computing environmentKey Features- Reduce the model-building time by applying optimization techniques and approaches- Harness the...

Take your NLP knowledge to the next level and become an AI language understanding expert by mastering the quantum leap of Transformer neural network modelsKey FeaturesBuild and implement state-of-the-art language models, such as the original Transformer,...

Intelligent systems are systems that, given some data, are able to learn from that data. This makes it possible for complex systems to be modeled and/or for performance to be predicted. In turn, intelligent systems' functionality can be controlled...

Agent technologies and multi-agent systems is an emerging field of study that is unique in the sense that all efforts to build this discipline unite knowledge from different areas of study. Developments in Intelligent Agent Technologies and Multi-Agent...

Information Communication Technology is one of the fastest advancing areas in our modern time. Gaining attention over the past few decades, ICT is one of the cornerstones of our developing culture in the 21st century. Cases on ICT Utilization, Practice...

Turn raw data into meaningful solutionsDESCRIPTION Learn Data Science from Scratch equips you with the essential tools and techniques, from Python libraries to machine learning algorithms, to tackle real-world problems and make informed decisions...

Context-aware systems are a group of systems that are self-aware with regard to their physical environment and behave according to the conditions that are imposed by their physical setting. Context-awareness, or ubiquitous computing is a budding field of...

Understand the key aspects and challenges of machine learning interpretability, learn how to overcome them with interpretation methods, and leverage them to build fairer, safer, and more reliable modelsKey Features:Learn how to extract easy-to-understand...

Fully Tuned Radial Basis Function Neural Networks for Flight Control presents the use of the Radial Basis Function (RBF) neural networks for adaptive control of nonlinear systems with emphasis on flight control applications...

Discover how TPOT can be used to handle automation in machine learning and explore the different types of tasks that TPOT can automateKey Features:Understand parallelism and how to achieve it in Python.Learn how to use neurons, layers, and activation...

20 years in conception and 15 in construction, the SpiNNaker project has delivered the world’s largest neuromorphic computing platform incorporating over a million ARM mobile phone processors and capable of modelling spiking neural networks of the...

The branch of neuroscience that uses theoretical analysis, mathematical models and abstractions of the brain for understanding the nervous system is known as computational neuroscience. It is involved in studying the development, structure, physiology...

This book begins with the configuration of an Anaconda development environment, essential for practicing the deep learning process. The basics of machine learning, which are needed for Deep Learning, are explained in this book.TensorFlow is the...

This book focuses on artifi cial intelligence in the fi eld of digital signal processing and wireless communication. The implementation of machine learning and deep learning in audio, image, and video processing is presented, while adaptive signal...

Get to grips with deep learning techniques for building image processing applications using PyTorch with the help of code notebooks and test questionsKey FeaturesImplement solutions to 50 real-world computer vision applications using PyTorchUnderstand...

Recent developments in computer communications and networks have enabled the deployment of exciting new areas such as Internet of Things and collaborative big data analysis. The design and implementation of energy efficient future generation...

Leverage Python source code to revolutionize your short selling strategy and to consistently make profits in bull, bear, and sideways marketsKey Features:Understand techniques such as trend following, mean reversion, position sizing, and risk management...

A step-by-step solution-based guide to preparing building, training, and deploying high-quality machine learning models with Amazon SageMakerKey Features:Perform ML experiments with built-in and custom algorithms in SageMakerExplore proven solutions when...

Can machine learning deliver AI? Theoretical results, inspiration from the brain and cognition, as well as machine learning experiments suggest that in order to learn the kind of complicated functions that can represent high-level abstractions (e.g. in...

您是否对深度学习书籍和视频不解释每一行代码感到沮丧？在向深度学习、AI 和 Python 初学者解释深度学习、AI 和 Python 的书籍方面，《人工智能和 Python...

Step into the AI arena where you're the master, not the apprentice!Imagine a tool so powerful it transforms the novice into a professional, the curious into creators. "AI Mastery Unleashed" is that tool - your ultimate guide in the rapidly evolving world...

"Learning PyTorch 2.0, Second Edition" is a fast-learning, hands-on book that emphasizes practical PyTorch scripting and efficient model development using PyTorch 2.3 and CUDA 12. This edition is centered on practical applications and...

This book presents a collection of invited works that consider constructive methods for neural networks, taken primarily from papers presented at a special th session held during the 18 International Conference on Artificial...

Artificial Intelligence and Ethics is a general and wide-ranging survey of the benefits and ethical dilemmas of AI. The book will be of particular interest to business stakeholders, including executives, scientists, ethicists and policymakers,...

Vision inference is the process of the eye, recognizing an object, analyzing the same and reconstructing a complete picture of an object. Unlike some mental processes like computing an addition, or reasoning for a decision in a chess game, ...

"Statistics with Rust, Second Edition" is designed to help you learn quickly, focusing on practical statistics using Rust scripts. The book is for readers who know the basics of statistics and machine learning. It gives quick explanations so you can try...

This book and its sister volume collect refereed papers presented at the 7th Inter- tional Symposium on Neural Networks (ISNN 2010), held in Shanghai, China, June 6-9, 2010. Building on the success of the previous six ...

This book and its sister volume collect refereed papers presented at the 7th Inter- tional Symposium on Neural Networks (ISNN 2010), held in Shanghai, China, June 6-9, 2010. Building on the success of the previous six ...

The 2003 edition of ICANNGA marks a milestone in this conference series, because it is the tenth year of its existence. The series began in 1993 with the inaugural conference at Innsbruck in Austria. At that first conference,...