This book bridges the gap between theoretical mathematics and practical applications in AI. Whether youre aiming to develop practical skills for AI projects, advance to emerging trends in deep learning, or lay a strong foundation for future studies...Lasīt vairāk
The book provides theoretical and practical knowledge about swarm and evolutionary approach, i.e. deep swarm and deep evolution, to generative AI and LLMs. It discusses the cognitive differences and similarities between humans and LLMs and describes...Lasīt vairāk
In recent years, deep learning has shown great potential in transforming various fields, including healthcare. With the abundance of healthcare data being generated daily, there is a pressing need to develop efficient algorithms that can process and...Lasīt vairāk
This book focuses on deep learning-based approaches in the field of Diabetes Mellitus detection and diagnosis, including preprocessing techniques which are an essential part of this subject. This is the first book of its kind to cover deep learning-...Lasīt vairāk
The book delves into how to apply deep learning to areas of operations research. The book focuses on decision modeling and model optimization and features case studies....Lasīt vairāk
This comprehensive guide seamlessly bridges the gap between theoretical concepts and practical implementations, providing you with the knowledge and tools to revolutionize industries and drive innovation....Lasīt vairāk
This book serves as source of introductory material and reference for medical application development and related technologies by providing the detailed implementation of the cutting-edge deep learning methodologies. It targets the cloud based advan...Lasīt vairāk
This book demonstrates the core concepts of deep learning algorithms that, using diagrams, data tables, and examples, are especially useful for deep learning based human cancer diagnostics....Lasīt vairāk
Provides a complete and concise overview of deep learning using the language of mathematics. Provides a self-contained background on machine learning and optimization algorithms, and progresses through the key ideas of deep learning....Lasīt vairāk
This book offers detailed information on biomedical imaging using Deep Convolutional Neural Networks (Deep CNN). It focuses on different types of biomedical images to enable readers to understand the effectiveness and the potential. It includes topi...Lasīt vairāk
What exactly is ML? How is it related to AI? Why is deep learning (DL) so popular these days? This book explains how traditional rule-based AI and ML work....Lasīt vairāk
The proposed book is designed as a reference text and provides a comprehensive overview of conceptual and practical knowledge about deep learning in medical image processing techniques. It provides a snapshot of the state of current research between...Lasīt vairāk
This book presents latest developments in deep learning-enabled healthcare tools and technologies and offers practical ideas of using IoT with deep learning (motion-based object data) to deal with human dynamics, and challenges....Lasīt vairāk
Introduces fundamental principles of deep learning with the explanation of basic elements required for understanding and applying deep learning models. Features coding structure using Python and PyTorch, presenting four typical deep learning case st...Lasīt vairāk
This book aims at providing a review of current Neural Network techniques in the NLP. The book is intended for a wide audience: beginners will find chapters providing a general introduction to the NLP techniques useful; experienced professionals wou...Lasīt vairāk
Intelligent Approach to Cyber Security provides details on the important cyber security threats and its mitigation and the influence of Machine Learning, Deep Learning and Blockchain technologies in the realm of cyber security....Lasīt vairāk
(Izdošanas datums: 06-Oct-2023, Izdevniecība: Apple Academic Press Inc., ISBN-13: 9781003376651)
Offers real-world solutions to present-day problems by using IoT and related technologies. It explores the diverse applications of the Internet of Things in diverse areasin healthcare, the construction industry, in wildlife monitoring, in home secur...Lasīt vairāk
The concept of deep machine learning is easier to understand by paying attention to the cyclic stochastic time series and a time series whose content is non-stationary not only within the cycles, but also over the cycles as the cycle-to-cycle variat...Lasīt vairāk
