Deep Learning CNN Convolutional Neural Networks with Python - Face Verification Activity

Deep Learning CNN Convolutional Neural Networks with Python - Face Verification Activity

Assessment

Interactive Video

Information Technology (IT), Architecture

University

Hard

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The video tutorial guides viewers on building a face recognition system. It starts with an introduction to the system, followed by details on the face recognition data that will be provided. The tutorial then explains how to use a face verification module, which is coded in a provided notebook, to build the system. Finally, it offers encouragement to complete the project using the given dataset.

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5 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the primary goal of the project discussed in the video?

To design a user interface

To build a face recognition system

To create a new dataset

To develop a mobile application

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What resource is provided to help build the face recognition system?

A set of images

A video tutorial

A user manual

A face verification module

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What should the face recognition system be based on?

The face verification module

A cloud service

A third-party API

A new algorithm

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the final task mentioned in the video?

Create a presentation

Submit a project report

Build a face recognition system using the provided dataset

Develop a mobile app

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the expected outcome after using the provided resources?

A new dataset

A detailed research paper

A software prototype

A functional face recognition system