Build a Deep Facial Recognition App from Paper to Code // Part 1 // Deep Learning Project Tutorial

Ever wanted to implement facial recognition or verification into your application?

In this series you'll learn how to build a deep facial recognition application to authenticate into an application. You'll start off by building a model using Deep Learning with Tensorflow which replicates what is shown in the paper titled Siamese Neural Networks for One-shot Image Recognition. Once that's all trained you'll be able to integrate it into a Kivy app and actually authenticate!

In Part 1, you'll go through:
1. Install Dependencies around Tensorflow
2. Importing Tensorflow Functional API
3. Setting up to Limit your GPU growth
4. Create Data Folders and Structures

Get the code: https://github.com/nicknochnack/FaceR...

Links
Paper: https://www.cs.cmu.edu/~rsalakhu/pape...
Labelled Faces in the Wild: http://vis-www.cs.umass.edu/lfw/

Chapters:
0:00 - Start
0:25 - Explainer
2:09 - Install Dependencies
3:51 - Import Dependencies
13:20 - Set GPU Growth
16:54 - Create Folder Structures

Oh, and don't forget to connect with me!
LinkedIn: https://bit.ly/324Epgo
Facebook: https://bit.ly/3mB1sZD
GitHub: https://bit.ly/3mDJllD
Patreon: https://bit.ly/2OCn3UW
Join the Discussion on Discord: https://bit.ly/3dQiZsV

Happy coding!
Nick

P.s. Let me know how you go and drop a comment if you need a hand!