Neural network bingo
Exercise and reference answers
- Clues and terms
- Clue
- Unit taking inputs, giving output.
- Item
- Neuron
- Clue
- Sending a signal onward.
- Item
- Activation
- Clue
- Multiplies the incoming signal.
- Item
- Weight
- Clue
- Added to the weighted signal.
- Item
- Bias
- Clue
- Where raw data enters.
- Item
- Input layer
- Clue
- Many hidden layers, from the 1980s.
- Item
- MLP
- Clue
- Measures how wrong the model is.
- Item
- Loss
- Clue
- Great on training, poor elsewhere.
- Item
- Overfit
- 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._