Coursera | Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

Week 1 Quiz >> Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

Week 1 Quiz >> Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning


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

  • Machine Learning
  • Answers
  • Binary
  • Bugs

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

  • Rules
  • Binary
  • Models
  • Bugs

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?

  • Programming the Data
  • Categorizing the Data
  • Labelling the Data
  • Learning the Data

4. What is a Dense?

  • A layer of disconnected neurons
  • Mass over Volume
  • A layer of connected neurons
  • A single neuron

5. What does a Loss function do?

  • Decides to stop training a neural network
  • Measures how good the current ‘guess’ is
  • Generates a guess
  • Figures out if you win or lose

6. What does the optimizer do?

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

7. What is Convergence?

  • The process of getting very close to the correct answer
  • The bad guys in the next ‘Star Wars’ movie
  • A programming API for AI
  • A dramatic increase in loss

8. What does model.fit do?

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

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