5.2 Introduction to Neural Networks

A neural network is a bunch of simple math units ("neurons") connected in layers - loosely inspired by the brain.

Chapter 5: Deep Learning and Neural Networks

A neural network is made of three kinds of layers. The input layer takes in raw data (like pixel values). Hidden layers in the middle do the processing. The output layer gives the answer (like "cat: 92%").

Every connection between neurons has a weight - a number that says how important that connection is. Learning = adjusting those weights.

Quick reality check: they're "inspired by" the brain the same way a paper plane is inspired by a bird. Real neurons are way more complex. Artificial ones are just math.

Key takeaways

Input layer → hidden layers → output layer

Each connection has a weight (importance)

Learning = adjusting weights

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1.3 History and Evolution of AI
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1.5 Importance of AI in Today's World
1.6 Real-World Applications of AI
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5.1 What Is Deep Learning?
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