AI Foundations of Neural Networks

AI Foundations of Neural Networks
Author :
Publisher : Green Mountain Computing
Total Pages : 83
Release :
ISBN-10 :
ISBN-13 :
Rating : 4/5 ( Downloads)

Book Synopsis AI Foundations of Neural Networks by : Jon Adams

Download or read book AI Foundations of Neural Networks written by Jon Adams and published by Green Mountain Computing. This book was released on with total page 83 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dive into the fascinating world of artificial intelligence with "AI Foundations of Neural Networks." This comprehensive guide demystifies the complex concepts of neural networks, offering a clear and accessible path to understanding the core principles that fuel modern AI systems. From the basic building blocks of neural networks to advanced architectures, this book is designed to provide a thorough grounding in deep learning for readers at all levels of expertise. Chapters Overview: The Neuron - The Fundamental Unit: Explore the basic structure that mimics the human brain's neurons, setting the stage for understanding how neural networks operate. Activation Functions - Bringing Neurons to Life: Learn about the functions that help neural networks make decisions, allowing them to process information in complex ways. The Anatomy of Layers: Delve into how layers of neurons work together to process data, forming the backbone of neural network architecture. Backpropagation - Learning from Errors: Understand the mechanism by which neural networks learn from their mistakes, optimizing their performance over time. Loss Functions - Measuring Performance: Discover how neural networks evaluate their accuracy and make adjustments to improve their predictions. Optimization Algorithms - The Road to Convergence: Get to grips with the strategies that guide neural networks towards making more accurate predictions. Overfitting and Generalization: Learn about the challenges of making models that perform well not just on the data they were trained on but on new, unseen data as well. Advanced Architectures: Explore the frontier of neural network design, including the latest models that drive progress in AI research. Why This Book? "AI Foundations of Neural Networks" stands out as a beacon of knowledge, transforming what might appear as a complex field into a series of comprehensible concepts. With a focus on clarity, practical insights, and intuitive understanding, this book bridges the gap between theoretical knowledge and real-world application. Whether you're a student, professional, or enthusiast eager to navigate the realm of AI, this guide illuminates the path forward. Embark on a journey through the corridors of deep learning with "AI Foundations of Neural Networks." Unlock the secrets behind the artificial intelligence technologies that are transforming our world. Your exploration of neural networks starts here. Perfect for: Students, AI professionals, tech enthusiasts, and anyone curious about the inner workings of neural networks and deep learning. Discover the principles of AI that are shaping the future. Your journey into neural networks begins now.


AI Foundations of Neural Networks Related Books

AI Foundations of Neural Networks
Language: en
Pages: 83
Authors: Jon Adams
Categories: Computers
Type: BOOK - Published: - Publisher: Green Mountain Computing

DOWNLOAD EBOOK

Dive into the fascinating world of artificial intelligence with "AI Foundations of Neural Networks." This comprehensive guide demystifies the complex concepts o
Artificial Intelligence Foundations
Language: en
Pages: 70
Authors: Doug Rose
Categories: Computers
Type: BOOK - Published: 2019-03-31 - Publisher: Independently Published

DOWNLOAD EBOOK

This tutorial provides introductory knowledge on Artificial Intelligence. It would come to a great help if you are about to select Artificial Intelligence as a
Foundations of Neural Networks, Fuzzy Systems, and Knowledge Engineering
Language: en
Pages: 581
Authors: Nikola K. Kasabov
Categories: Artificial intelligence
Type: BOOK - Published: 1996 - Publisher: Marcel Alencar

DOWNLOAD EBOOK

Combines the study of neural networks and fuzzy systems with symbolic artificial intelligence (AI) methods to build comprehensive AI systems. Describes major AI
Explainable AI: Foundations, Methodologies and Applications
Language: en
Pages: 273
Authors: Mayuri Mehta
Categories: Technology & Engineering
Type: BOOK - Published: 2022-10-19 - Publisher: Springer Nature

DOWNLOAD EBOOK

This book presents an overview and several applications of explainable artificial intelligence (XAI). It covers different aspects related to explainable artific
Artificial Intelligence Foundations: Neural Networks
Language: en
Pages:
Authors: Doug Rose
Categories:
Type: BOOK - Published: 2018 - Publisher:

DOWNLOAD EBOOK