Meta-learning applied to the Facial Expression Recognition Problem

This repository contains the source code and documentation of my Undergraduate Thesis to complete my Bachelor in Computer Science (Universidade Federal do Maranhão - UFMA). This research applies automatic optimization of CNN's architecture's hyperparameters, in order to recognize facial expressions. This research was developed with the orientation of the Dr. Geraldo Braz Júnior.

The paper of this research can be found inside the docs folder.

Dependencies

TensorFlow
Keras
Hyperopt
Quiver (filter visualization script: filters_visualization.py)

Link to access Paper in UFMA's Digital library

https://monografias.ufma.br/jspui/handle/123456789/3540

Questions?

Get in touch. I am more than happy to help you.

Name		Name	Last commit message	Last commit date
Latest commit History 18 Commits
data		data
docs		docs
plots		plots
results		results
LICENSE		LICENSE
README.md		README.md
constants.py		constants.py
dataset_loader.py		dataset_loader.py
filters_visualization.py		filters_visualization.py
network_builder.py		network_builder.py
plot_model.py		plot_model.py
resnet.py		resnet.py
search_spaces.py		search_spaces.py
simplenet.py		simplenet.py
train.py		train.py
train_multi_gpu.py		train_multi_gpu.py
train_optimize.py		train_optimize.py
train_result.py		train_result.py
utils.py		utils.py
validate_model.py		validate_model.py

License

jorgeribeiro/meta-learning-facial-expression-recognition

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Meta-learning applied to the Facial Expression Recognition Problem

Dependencies

Link to access Paper in UFMA's Digital library

Questions?

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