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

Week 3 Quiz >> Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

Week 3 Quiz >> Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning


1. What is a Convolution?

  • A technique to isolate features in images
  • A technique to make images smaller
  • A technique to filter out unwanted images
  • A technique to make images bigger

2. What is a Pooling?

  • A technique to reduce the information in an image while maintaining features
  • A technique to make images sharper
  • A technique to isolate features in images
  • A technique to combine pictures

3. How do Convolutions improve image recognition?

  • They make the image smaller
  • They isolate features in images
  • They make the image clearer
  • They make processing of images faster

4. After passing a 3×3 filter over a 28×28 image, how big will the output be?

  • 25×25
  • 26×26
  • 28×28
  • 31×31

5. After max pooling a 26×26 image with a 2×2 filter, how big will the output be?

  • 26×26
  • 13×13
  • 28×28
  • 56×56

6. Applying Convolutions on top of our Deep neural network will make training:

  • Stay the same
  • Faster
  • It depends on many factors. It might make your training faster or slower, and a poorly designed Convolutional layer may even be less efficient than a plain DNN!
  • Slower

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