Neural Networks are a way for AI to think and learn, just like our brain. They Are Made Of: Neurons: Like tiny messengers that pass information Weights: Decide how strong or important the message is Layers: Groups of neurons that pass info step by step Easy Analogy: Imagine a group of people in rows: The first row gets a question (like a photo). Each person whispers info to the next row. The last row gives the answer (like “This is a cat!”). Each whisper has a volume (weight) — louder whispers are more important! what is deep learning