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:
Links
Paper: ~rsalakhu/papers/
Labelled Faces in the Wild:
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 do
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