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Exercise and reference answers

Items
  1. Group
    Layers
    Item
    Input
  2. Group
    Layers
    Item
    Hidden
  3. Group
    Layers
    Item
    Output
  4. Group
    Parameters
    Item
    Weight
  5. Group
    Parameters
    Item
    Bias
  6. Group
    Parameters
    Item
    Two each
  7. Group
    Learning
    Item
    Loss
  8. Group
    Learning
    Item
    Minimise
  9. Group
    Learning
    Item
    Overfit
Groups
  1. Item
    Layers
  2. Item
    Parameters
  3. Item
    Learning
Instructions
Drop each item onto layers, parameters or learning.

Explanation

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