Build a Deep Facial Recognition App - Making Facial Recognition Predictions - Python

Learn how to implement facial recognition predictions using a Siamese Neural Network in this Python tutorial video. Explore techniques for making predictions, calculating precision and recall, and visualizing results. Discover how to save and reload the trained model from an h5 file. Follow along as the instructor guides you through importing metrics, getting data batches, and making predictions with the deep learning model. Gain insights into evaluating model performance and visualizing the outcomes. By the end of this tutorial, you'll have a solid understanding of how to integrate facial recognition capabilities into your applications using TensorFlow and Kivy.

- Start
- Explainer
- Tutorial Kickoff
- Import Metrics
- Get Data Batches
- Make Predictions
- Calculate Precision and Recall
- Visualize Results
- Save Model
- Reloading the Model