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  1. The diagram for traditional programming had Rules and Data In, but what came out?

    • Bugs
    • Answers
    • Machine Learning
    • Binary
  2. The diagram for Machine Learning had Answers and Data In, but what came out?

    • Bugs
    • Binary
    • Rules
    • Models
  3. When I tell a computer what the data represents (i.e. this data is for walking, this data is for running), what is that process called?

    • Learning the Data
    • Programming the Data
    • Categorizing the Data
    • Labeling the data
  4. What is a Dense?

    • A layer of disconnected neurons
    • A single neuron
    • A layer of connected neurons
    • Mass over Volume
  5. What does a Loss function do?

    • Measures how good the current ‘guess’ is
    • Generates a guess
    • Figures out if you win or lose
    • Decides to stop training a neural network
  6. What does the optimizer do?

    • Figures out how to efficiently compile your code
    • Measures how good the current guess is
    • Decides to stop training a neural network
    • Generates a new and improved guess
  7. What is Convergence?

    • The bad guys in the next ‘Star Wars’ movie
    • A programming API for AI
    • The process of getting very close to the correct answer
    • A dramatic increase in loss
  8. What does model.fit do?

    • It trains the neural network to fit one set of values to another
    • It optimizes an existing model
    • It makes a model fit available memory
    • It determines if your activity is good for your body