Daniel - Neural Networks 1

Human–AI Collaboration in Research: Practical Applications, Ethical Frameworks, and Future Directions positions human–AI collaboration (HAIC) as a defining feature of contemporary research ecosystem……続きを見る

Are you ready to fine-tune your own LLMs? This book is a practical guide to fine-tuning Large Language Models (LLMs), combining high-level concepts with step-by-step instructions to train these powe……続きを見る

Generative AI is revolutionizing industries, and Kubernetes has fast become the backbone for deploying and managing these resource-intensive workloads. This book serves as a practical, hands-on guid……続きを見る

*With a foreword by Mario Carpo* Given the extensive data sources represented by urban environments, this book investigates the potential of architecting for cities using large-scale models – the te……続きを見る

Diagnosis through images, robot surgeons, digital twins, and the metaverse are some of the applications in which artificial intelligence (AI) is involved. It is an almost sci-fi world that touches u……続きを見る

Journeys of Uncertainty AI's Role in Crafting Eco-Historical Narratives A Flexible Online Methodology for Speculative Storytelling and Participatory Futures Edited by Eveline Wandl-Vogt Authors: Eve……続きを見る

Revised for PyTorch 2.x! Why this book? Are you looking for a book where you can learn about deep learning and PyTorch without having to spend hours deciphering cryptic text and code? A technical bo……続きを見る

Revised for PyTorch 2.x! Why this book? Are you looking for a book where you can learn about deep learning and PyTorch without having to spend hours deciphering cryptic text and code? A technical bo……続きを見る

Revised for PyTorch 2.x! Why this book? Are you looking for a book where you can learn about deep learning and PyTorch without having to spend hours deciphering cryptic text and code? A technical bo……続きを見る

En un mundo donde la inteligencia artificial (IA) está redefiniendo la manera en que vivimos y trabajamos, permanecer al margen no es una opción. "Inteligencia Artificial Y El Futuro Del Trabajo: Có……続きを見る

Edge AI is transforming the way computers interact with the real world, allowing IoT devices to make decisions using the 99% of sensor data that was previously discarded due to cost, bandwidth, or p……続きを見る

Deep Learning Neural Networks is the fastest growing field in machine learning. It serves as a powerful computational tool for solving prediction, decision, diagnosis, detection and decision problem……続きを見る

Take your machine learning skills to the next level by mastering Deep Learning concepts and algorithms using Python.Key Features\[\*\] Explore and create intelligent systems using cutting-edge deep ……続きを見る

The field of Artificial Neural Networks is the fastest growing field in Information Technology and specifically, in Artificial Intelligence and Machine Learning.This must-have compendium presents th……続きを見る

AI for Digital Warfare explores how the weaponising of artificial intelligence can and will change how warfare is being conducted, and what impact it will have on the corporate world. With artificia……続きを見る

Learn advanced state-of-the-art deep learning techniques and their applications using popular Python librariesKey FeaturesBuild a strong foundation in neural networks and deep learning with Python l……続きを見る

The book offers an insight on artificial neural networks for giving a robot a high level of autonomous tasks, such as navigation, cost mapping, object recognition, intelligent control of ground and ……続きを見る

Artificial neural networks are most suitable for solving problems that are complex, ill-defined, highly nonlinear, of many and different variables, and/or stochastic. Such problems are abundant in m……続きを見る