Uploaded September 2021 | Updated September 2026, 25 minutes ago
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 5 you'll go through how to:
1. Set Up a Loss Function
2. Set Up an Optimizer
3. Build a Custom Training Step
4. Create a Training Loop
5. Train the MODEL
Get the code: github.com/nicknochnack/FaceRecognition
Links
Paper: https://www.cs.cmu.edu/~rsalakhu/papers/oneshot1.pdf
Labelled Faces in the Wild: http://vis-www.cs.umass.edu/lfw/
Chapters:
0:00 - Start
0:21 - Explainer
1:15 - Tutorial Kickoff
3:17 - Setup the Loss Function & Optimizer
5:40 - Establish Checkpoint Function
8:52 - Build the Train Step Function
23:22 - Build the Training Loop
27:26 - Train the Model
Oh, and don't forget to connect with me!
LinkedIn: bit.ly/324Epgo
Facebook: bit.ly/3mB1sZD
GitHub: bit.ly/3mDJllD
Patreon: bit.ly/2OCn3UW
Join the Discussion on Discord: bit.ly/3dQiZsV
Happy coding!
Nick
P.s. Let me know how you go and drop a comment if you need a hand!
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 5 you'll go through how to:
1. Set Up a Loss Function
2. Set Up an Optimizer
3. Build a Custom Training Step
4. Create a Training Loop
5. Train the MODEL
Get the code: github.com/nicknochnack/FaceRecognition
Links
Paper: https://www.cs.cmu.edu/~rsalakhu/papers/oneshot1.pdf
Labelled Faces in the Wild: http://vis-www.cs.umass.edu/lfw/
Chapters:
0:00 - Start
0:21 - Explainer
1:15 - Tutorial Kickoff
3:17 - Setup the Loss Function & Optimizer
5:40 - Establish Checkpoint Function
8:52 - Build the Train Step Function
23:22 - Build the Training Loop
27:26 - Train the Model
Oh, and don't forget to connect with me!
LinkedIn: bit.ly/324Epgo
Facebook: bit.ly/3mB1sZD
GitHub: bit.ly/3mDJllD
Patreon: bit.ly/2OCn3UW
Join the Discussion on Discord: bit.ly/3dQiZsV
Happy coding!
Nick
P.s. Let me know how you go and drop a comment if you need a hand!
