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Neural Networks Simplified
Neural Networks Simplified – Your Beginner’s Guide to AI, Machine Learning, and Deep Learning
Are you curious about artificial intelligence but feel overwhelmed by complex terms and equations? Neural Networks Simplified breaks it all down into clear, beginner-friendly explanations that anyone can understand. Whether you’re a student, hobbyist, or professional from a technical or non-technical background, this guide will help you grasp the fundamentals of neural networks and how they power today’s most exciting AI applications.
Using stories, analogies, and visual explanations, you’ll explore how machines “think” and learn, step-by-step. Meet Siya and Rachel, two friendly guides who will take you through the fascinating world of machine learning, making concepts like neurons, layers, activation functions, and gradient descent easy to understand — even if you’ve never coded before.
What You’ll
The basics of artificial intelligence, machine learning, and deep learning
How neural networks mimic the human brain to solve problems
Key concepts like forward propagation, activation functions, and gradient descent
Real-world examples of AI in action — from healthcare to finance
How modern AI algorithms are shaping industries worldwide
This is not a dense academic textbook — it’s a practical, easy-to-follow guide that brings AI to life through everyday examples. By the end of this book, you’ll have the confidence to understand how neural networks work, read about AI in the news with clarity, and take your first steps toward deeper machine learning knowledge.
✅ Perfect Readers of Machine Learning for Absolute Beginners, or anyone curious about AI
📘 No coding required — just curiosity and a willingness to learn
💡 Ideal for students, data enthusiasts, tech professionals, and lifelong learners
If you’ve ever wanted to understand the brains behind AI, this is your perfect starting point. Neural Networks Simplified will make you see artificial intelligence in a whole new light.
Are you curious about artificial intelligence but feel overwhelmed by complex terms and equations? Neural Networks Simplified breaks it all down into clear, beginner-friendly explanations that anyone can understand. Whether you’re a student, hobbyist, or professional from a technical or non-technical background, this guide will help you grasp the fundamentals of neural networks and how they power today’s most exciting AI applications.
Using stories, analogies, and visual explanations, you’ll explore how machines “think” and learn, step-by-step. Meet Siya and Rachel, two friendly guides who will take you through the fascinating world of machine learning, making concepts like neurons, layers, activation functions, and gradient descent easy to understand — even if you’ve never coded before.
What You’ll
The basics of artificial intelligence, machine learning, and deep learning
How neural networks mimic the human brain to solve problems
Key concepts like forward propagation, activation functions, and gradient descent
Real-world examples of AI in action — from healthcare to finance
How modern AI algorithms are shaping industries worldwide
This is not a dense academic textbook — it’s a practical, easy-to-follow guide that brings AI to life through everyday examples. By the end of this book, you’ll have the confidence to understand how neural networks work, read about AI in the news with clarity, and take your first steps toward deeper machine learning knowledge.
✅ Perfect Readers of Machine Learning for Absolute Beginners, or anyone curious about AI
📘 No coding required — just curiosity and a willingness to learn
💡 Ideal for students, data enthusiasts, tech professionals, and lifelong learners
If you’ve ever wanted to understand the brains behind AI, this is your perfect starting point. Neural Networks Simplified will make you see artificial intelligence in a whole new light.
274 pages, Kindle Edition
Published August 17, 2025
1 person want to read
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