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

Week 2 Quiz >> Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

Week 2 Quiz >> Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

1. What’s the name of the dataset of Fashion images used in this week’s code?

  • Fashion Tensors
  • Fashion Data
  • Fashion MNIST
  • Fashion MN

2. What do the above mentioned Images look like?

  • 82×82 Greyscale
  • 28×28 Greyscale
  • 100×100 Color
  • 28×28 Color

3. How many images are in the Fashion MNIST dataset?

  • 70,000
  • 10,000
  • 42
  • 60,000

4. Why are there 10 output neurons?

  • To make it train 10x faster
  • To make it classify 10x faster
  • Purely arbitrary
  • There are 10 different labels

5. What does Relu do?

  • For a value x, it returns 1/x
  • It only returns x if x is greater than zero
  • It returns the negative of x
  • It only returns x if x is less than zero

6. Why do you split data into training and test sets?

  • To make testing quicker
  • To train a network with previously unseen data
  • To make training quicker
  • To test a network with previously unseen data

7. What method gets called when an epoch finishes?

  • on_end
  • On_training_complete
  • on_epoch_end
  • on_epoch_finished

8. What parameter to you set in your fit function to tell it to use callbacks?

  • callback=
  • oncallback=
  • callbacks=
  • oncallbacks=

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