[Solved] Why do neural networks use layers of nodes instead of just one layer? — Ans: Multiple layers help learn complex patterns by combining simple features | AI for Everyone

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Why do neural networks use layers of nodes instead of just one layer?

AOne layer is enough for all problems, layers are just for speed

BMultiple layers help learn complex patterns by combining simple features

CLayers are used only to store data, not for learning

DMore layers make the network slower but less accurate

Step-by-Step Solution

Solution:

Step 1: Understand role of layers in neural networks
Each layer extracts features; deeper layers combine simpler features into complex ones.
Step 2: Evaluate options
Multiple layers help learn complex patterns by combining simple features correctly explains why multiple layers improve learning ability.
Final Answer:
Multiple layers help learn complex patterns by combining simple features -> Option B
Quick Check:
Layers enable complex pattern learning [OK]

Quick Trick: More layers = better at complex patterns [OK]

Common Mistakes:

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