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Neural network bingo

Exercise and reference answers

Clues and terms
  1. Clue
    Unit taking inputs, giving output.
    Item
    Neuron
  2. Clue
    Sending a signal onward.
    Item
    Activation
  3. Clue
    Multiplies the incoming signal.
    Item
    Weight
  4. Clue
    Added to the weighted signal.
    Item
    Bias
  5. Clue
    Where raw data enters.
    Item
    Input layer
  6. Clue
    Many hidden layers, from the 1980s.
    Item
    MLP
  7. Clue
    Measures how wrong the model is.
    Item
    Loss
  8. Clue
    Great on training, poor elsewhere.
    Item
    Overfit
  9. Clue
    Minimising loss over the data.
    Item
    Learning
Instructions
Read each clue and tap the term it describes.

Explanation

_Source: OpenStax Principles of Data Science, Chapter 7, Neural Networks._
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