Why is it necessary to deploy the Python Flask digital signal processing application in Lab 3?

Question: Why is it necessary to deploy the Python Flask digital signal processing application in Lab 3?

1. So that you can feed an audio file to the machine learning node in the Node-RED application
2. So that you can run predictions in IBM Cloud
3. So that your final application for this course can be provided as an API
4. So that you can refetch model lists that include sound files

Correct Answers: 1

About Introduction to Machine Learning with Sound Course

Either way, you’ve come to right place. In this course, you’ll learn to create basic machine learning models that you train to recognize the sounds of dogs, cats, and birds. You’ll also integrate visual recognition to identify images of these animals.

You’ll build a basic user interface in Node-RED that shows the results of the predictions for both sound and images. You’ll use IBM Watson Studio to build classification models to predict and identify animal sounds and use IBM Watson Visual Recognition to identify images of those animals.

You’ll learn how best to gather and prepare data, create and deploy models, deploy and test a signal processing application, create models with binary and multiclass classifications, and display the predictions on a web page.

Introduction to Machine Learning with Sound

Conclusion:

We hope you know the correct answers to “Why is it necessary to deploy the Python Flask digital signal processing application in Lab 3?” If Why Quiz helped you to find out the correct answer then make sure to bookmark our site for more Course Quiz Answers.

If the options are not the same then make sure to let us know by leaving it in the comments below.

Find more Question Answers >>

Entrepreneurship I: Laying the Foundation Quiz Answers

Entrepreneurship II: Preparing for Launch Coursera Quiz Answers

Digital Marketing Analytics in Theory Coursera Quiz Answers