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Module 2: Multilayer Neural Networks (The Brain)

📚 Module 2: Multilayer Neural Networks (MLP)

Course ID: DL-402
Subject: The Networked Brain

One Perceptron is simple. But what if we connect hundreds of them? This is where the magic happens. We call this a Neural Network.

🏗️ Step 1: The Three Layers (The “Team”)

  1. Input Layer (The Eyes): “Sees” the raw data.
  2. Hidden Layers (The Thinkers): Looks for patterns (lines, circles, shapes).
  3. Output Layer (The Decision): Makes the final choice (Cat or Dog).

🏗️ Step 2: Connections (The “Flow”)

Every neuron in one layer is connected to every neuron in the next. This is called a Dense Layer.

🧩 The Analogy: The Telephone Game

As information passes through the chain, it gets interpreted and refined until a final concept is formed.

🥅 Module 2 Review

  1. Layers: Input (Eyes), Hidden (Thinkers), Output (Decision).
  2. Dense Layer: Fully connected neurons.
  3. Hidden Patterns: How simple shapes become complex concepts.

:::tip Slow Learner Note The “Hidden” layers are called hidden because you don’t directly see the rules they learn. You only see what goes in and what comes out! :::