Uploaded October 2021 | Updated September 2026, 1 hour 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. Making Predictions with a Siamese Neural network
2. Calculating Precision and Recall
3. Saving and reloading the model from a h5 file
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
0:28 - Explainer
1:00 - Tutorial Kickoff
2:02 - Import Metrics
4:04 - Get Data Batches
7:18 - Make Predictions
12:31 - Calculate Precision and Recall
16:35 - Visualize Results
23:47 - Save Model
25:00 - Reloading 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. Making Predictions with a Siamese Neural network
2. Calculating Precision and Recall
3. Saving and reloading the model from a h5 file
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
0:28 - Explainer
1:00 - Tutorial Kickoff
2:02 - Import Metrics
4:04 - Get Data Batches
7:18 - Make Predictions
12:31 - Calculate Precision and Recall
16:35 - Visualize Results
23:47 - Save Model
25:00 - Reloading 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!
