Neural Networks for Beginners: An Easy-to-Follow Introduction to Artificial Intelligence and Deep Learning
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- FormatePub
- ISBN8224814305
- EAN9798224814305
- Date de parution30/04/2024
- Protection num.pas de protection
- Infos supplémentairesepub
- ÉditeurVirtued Press
Résumé
"Neural Networks for Beginners: An Easy-to-Follow Introduction to Artificial Intelligence and Deep Learning" is an essential guide to understanding the basics of neural networks, the fundamental technology behind artificial intelligence and deep learning. This book provides an in-depth exploration of neural network architectures and how they can be used to solve complex real-world problems in a variety of fields, including image and speech recognition, natural language processing, and time series analysis. Written for beginners, this book provides a clear and concise introduction to the concepts and techniques of neural networks, including the basics of machine learning and deep learning.
It covers a range of topics, from the fundamentals of neural networks to building and training models using popular frameworks like TensorFlow and PyTorch, as well as advanced topics like transfer learning and reinforcement learning. With practical examples and clear explanations, "Neural Networks for Beginners" is a valuable resource for anyone looking to learn about this exciting field. Whether you are a student, a professional, or simply interested in the technology behind artificial intelligence, this book will help you understand the basics of neural networks and how they are used to solve real-world problems.
It covers a range of topics, from the fundamentals of neural networks to building and training models using popular frameworks like TensorFlow and PyTorch, as well as advanced topics like transfer learning and reinforcement learning. With practical examples and clear explanations, "Neural Networks for Beginners" is a valuable resource for anyone looking to learn about this exciting field. Whether you are a student, a professional, or simply interested in the technology behind artificial intelligence, this book will help you understand the basics of neural networks and how they are used to solve real-world problems.
"Neural Networks for Beginners: An Easy-to-Follow Introduction to Artificial Intelligence and Deep Learning" is an essential guide to understanding the basics of neural networks, the fundamental technology behind artificial intelligence and deep learning. This book provides an in-depth exploration of neural network architectures and how they can be used to solve complex real-world problems in a variety of fields, including image and speech recognition, natural language processing, and time series analysis. Written for beginners, this book provides a clear and concise introduction to the concepts and techniques of neural networks, including the basics of machine learning and deep learning.
It covers a range of topics, from the fundamentals of neural networks to building and training models using popular frameworks like TensorFlow and PyTorch, as well as advanced topics like transfer learning and reinforcement learning. With practical examples and clear explanations, "Neural Networks for Beginners" is a valuable resource for anyone looking to learn about this exciting field. Whether you are a student, a professional, or simply interested in the technology behind artificial intelligence, this book will help you understand the basics of neural networks and how they are used to solve real-world problems.
It covers a range of topics, from the fundamentals of neural networks to building and training models using popular frameworks like TensorFlow and PyTorch, as well as advanced topics like transfer learning and reinforcement learning. With practical examples and clear explanations, "Neural Networks for Beginners" is a valuable resource for anyone looking to learn about this exciting field. Whether you are a student, a professional, or simply interested in the technology behind artificial intelligence, this book will help you understand the basics of neural networks and how they are used to solve real-world problems.
