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datastronaut authored Jul 9, 2024
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Expand Up @@ -5,7 +5,7 @@ Final project of [Le Wagon](https://www.lewagon.com/) Data Science Bootcamp - ba
It has been developed in two weeks, between February 28th and March 11th 2022, by three beginners in Python and Deep Learning
- [Victoria Metzger](https://github.com/VictoriaMetzger)
- [Timothée Filhol](https://github.com/timfilhol96)
- [Christian Lajouanie](https://github.com/ClearButton)
- [Christian Lajouanie](https://github.com/datastronaut)

## Objective
Goal of the project: build a classification deep learning model.
Expand Down Expand Up @@ -61,6 +61,6 @@ Step 4: Convert all audio signals to mel spectrograms (i.e. numpy arrays)
CNN architecture and training history can be found in /03_model_training/notebooks and /models

## Repositories
- **front-end repo:** [ClearButton/lewagon-deepdive-front](https://github.com/ClearButton/lewagon-deepdive-front)
- **front-end repo:** [datastronaut/lewagon-deepdive-front](https://github.com/datastronaut/lewagon-deepdive-front)
- **website:** [DeepDiveWebsite](https://clearbutton-lewagon-deepdive-front-app-o07cei.streamlitapp.com/)
- **back-end repo:** [ClearButton/lewagon-deepdive](https://github.com/ClearButton/lewagon-deepdive)
- **back-end repo:** [datastronaut/lewagon-deepdive](https://github.com/datastronaut/lewagon-deepdive)

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