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Facial verification system using a Siamese Neural Network architecture

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Facial Verification using a Siamese Neural Network

Hello! This is the facial verification/recognition repository you came across. I used one-shot learning using a siamese neural network to prevent training a model, which can be time consuming and consume resources.

Model Architecture

The neural network itself is a pretty simple one. Here's the architecture:

  • ConvLayer - 64 3x3 filters with strides of 2
  • MaxPool2D layer - 2x2 "filter"
  • Dropout with 20% Probability
  • ConvLayer - 128 2x2 filters (no padding/strides)
  • MaxPool2D layer - 2x2 "filter"
  • Flatten Layer
  • Fully Connected Layer with 128 logistic regression units (layer that outputs encodings)

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Facial verification system using a Siamese Neural Network architecture

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