Quiz.md

1. What is a Convolution?

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

2. What is a Pooling?

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

3. How do Convolutions improve image recognition?

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

4. After passing a 3x3 filter over a 28x28 image, how big will the output be?

   • 25x25
   • 26x26
   • 28x28
   • 31x31

5. After max pooling a 26x26 image with a 2x2 filter, how big will the output be?

   • 13x13
   • 56x56
   • 26x26
   • 28x28

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

   • Faster
   • Slower
   • 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!
   • Stay the same