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on
1
- Intronduction of project
2
- Demo of project
3
- Data Collection
4
- Project Architecture & Implementation steps
5
- Preparing environment
6
- Making setup
7
- Implementing stage 01
8
- Implementing stage 02
9
- Implementing web app
10
- conclutions
Description:
Dive into a comprehensive 3-hour tutorial on building a face matching application using deep learning techniques. Learn to create a system that identifies which Bollywood celebrity a user resembles. Follow along as the instructor guides you through data collection, project architecture, environment setup, and implementation stages. Explore the use of MTCNN for face detection and develop a web application to showcase your project. Gain hands-on experience with code implementation, utilizing resources like GitHub repositories and Kaggle datasets. By the end of this tutorial, you'll have created a fully functional face matching application, enhancing your skills in deep learning and computer vision.

Face Matching Application Using Deep Learning - End to End Implementation

Krish Naik
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