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1. The Dawn of Artificial Intelligence: The Early Dreams
What is Artificial Intelligence? Artificial Intelligence (AI) is like teaching a machine to think and learn, just like we do. Imagine having a helper who can understand tasks, learn from…
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2. The Perceptron: The First Step Towards Learning Machines
The Perceptron: A Simple Yet Powerful Idea 1957: The Birth of the Perceptron The Perceptron was one of the earliest models for machine learning, created by Frank Rosenblatt in 1957.…
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3. The AI Winter: A Period of Challenges and Doubts
The First AI Winter (1974–1980): Expectations vs. Reality What Was the AI Winter? Imagine being excited about a new toy that promises a lot but doesn’t quite deliver. That’s what…
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4. The Rise of Neural Networks: A New Hope
Multilayer Perceptrons: Adding Depth to Learning 1980s: The Revival In the 1980s, researchers found a way to overcome the limitations of the Perceptron by adding more layers, leading to the…
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5. The Emergence of Deep Learning: The Age of Deep Neural Networks
Deep Neural Networks (DNNs): Learning in Depth 2000s: The Breakthrough Deep Neural Networks, or DNNs, are like supercharged versions of MLPs with many layers. They can learn very complex patterns…
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6. Convolutional Neural Networks (CNNs): Seeing Through Images
CNNs: Masters of Vision What Are CNNs? Convolutional Neural Networks (CNNs) are specialized for processing images. They can recognize patterns like shapes, edges, and textures, making them perfect for tasks…
