Build a deep facial recognition app from paper to code // Part 1 // Deep Learning Project tutorial

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Have you ever wanted to implement facial recognition or authentication in your application?

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

In part 1 you will go through:
1. Install dependencies around Tensorflow
2. Import Tensorflow functional API
3. Set to limit your GPU growth
4. Create data folders and structures

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

Links
Paper: https://www.cs.cmu.edu/rsalakhu/papers/oneshot1.pdf
Tagged faces in the wild: http://vis-www.cs.umass.edu/lfw/

Chapters:
0:00 – Start
0:25 – Explanation
2:09 – Installing dependencies
3:51 – Import dependencies
13:20 – Set up GPU growth
16:54 – Creating 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

Ps Let me know how it goes and leave a comment if you need any help!