PHI Learning
Helping Teachers to Teach and Students to Learn
Helping Teachers to Teach and Students to Learn
Helping Teachers to Teach and Students to Learn
Neural networks are changing the world around us—from voice assistants on our phones to medical diagnosis and self-driving cars. But learning about them can feel overwhelming. This book makes neural networks simple and accessible for everyone.
The book takes you on a clear journey from the basics to modern AI systems. It starts by showing how artificial neurons were inspired by the human brain, then builds up step by step to today's powerful architectures like transformers and generative models.
The book is organized in five clear parts: building blocks, core architectures for different data types, modern language processing techniques, generative models, and practical applications. Each part builds naturally on the previous one.KEY FEATURES
• Builds concepts step-by-step from biological neurons to modern transformers and generative models, showing how and why each architecture evolved.
• Explains complex ideas through intuition and examples before formal mathematics in simple language, making neural networks approachable for students at all levels.
• Covers the complete neural networks spectrum in one book—foundations, core architectures, advanced NLP, generative models, and real-world applications.
• Includes hands-on examples, code implementations, and complete case studies in computer vision and natural language processing for immediate application.
What makes this book different?
First, it explains ideas through intuition and examples before diving into technical details. The readers do not need advanced mathematics to start learning. Second, it shows how different architectures connect to each other—helping you understand not just how they work, but why they were created and when to use them. Third, it includes many real-world applications in computer vision and natural language processing, so you can see these concepts in action.
Who should read this book?
This book is for students beginning their AI journey, teachers designing courses, and professionals entering the field. Whether you are studying computer science, working on AI projects, or simply curious about how neural networks work, this book will give you both understanding and confidence. By the end, the students will be ready to work with neural networks and understand the AI systems shaping our future.
TARGET AUDIENCE
• B.Tech. Computer Science and Engineering (Paper: Neural Network and Deep Learning)
• MCA (Paper: Neural Network and Deep Learning)
