TensorFlow for AI,Ml&Dl Exercise & Quiz (Week 3)


TensorFlow for AI,ML&DL (WEEK 3)

link: https://www.coursera.org/learn/introductiontensorflow


1. What is a Convolution?

Ans: A technique to isolate features in images

2. What is a Pooling?

Ans: A technique to reduce the information in an image while maintaining features

3. How do Convolutions improve image recognition?

Ans: They isolate features in images

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

Ans: 26×26

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

Ans: 13×13

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

Ans: 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!

TensorFlow for AI,ML&DL EXERCISE (WEEK 3)


For reference .ipynb file is attached below.

* The material and content uploaded on this website are for general information and reference purposes only. Please do it by your own first. COPYING MATERIALS IS STRICTLY PROHIBITED.

More from PROGIEZ