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Day 16: Building Blocks of Neural Networks: Perceptrons and Multi-Layer Networks

  • A perceptron is a decision-making unit for computers that takes inputs, weighs them, and outputs either a 1 or 0.
  • Perceptrons can only solve simple problems and are not effective in classifying complex images.
  • Multi-layer networks are teams of perceptrons working together and can solve more complex problems.
  • Multi-layer networks consist of multiple layers, with each layer passing data to the next layer until a final decision is made.

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