msramalho / feup-iart Public

Notifications You must be signed in to change notification settings
Fork 1
Star 2

Muticlass classification of Frog Species 🐸 using Deep Neural Networks in TensorFlow, based on their calls 🔉

msramalho.github.io/#feup-iart

2 stars 1 fork Branches Tags Activity

Name		Name	Last commit message	Last commit date
Latest commit History 75 Commits
colaboratory-executions		colaboratory-executions
dataset		dataset
report_material		report_material
.editorconfig		.editorconfig
.gitignore		.gitignore
Anuran Classification.ipynb		Anuran Classification.ipynb
README.md		README.md

Repository files navigation

FEUP IART

Developed by Rostyslav Khoptiy and Miguel Sozinho Ramalho

Univeristy Subject - Artificial Intelligence (Inteligência Artificial)

Faculty of Engineering of University of Porto

2017/2018

Interesting features

Deep Neural Networks
Unbalanced classes
k-Fold Cross-Validation
Libraries: Tensorflow, Pandas, scikit-learn, matplotlib
Evaluation: confusion matrix, precision, recall, f-score, ...
Jupyter notebook

Example of Configuration Comparison

Example of Configuration Evaluation Metrics

About

Muticlass classification of Frog Species 🐸 using Deep Neural Networks in TensorFlow, based on their calls 🔉

msramalho.github.io/#feup-iart

neural-network jupyter tensorflow artificial-intelligence feup mieic iart

Report repository

Releases

No releases published

Packages

No packages published

Contributors 2

Languages

Jupyter Notebook 100.0%