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
