> For the complete documentation index, see [llms.txt](https://maryadukmak-ho.gitbook.io/empathicrobot/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://maryadukmak-ho.gitbook.io/empathicrobot/main/src/models.md).

# Models

In this folder you can find all the models that we have trained. The analysis of each model can also be found here.

## Content

* [Baseline model](https://github.com/BB8-2020/EmpathicRobot/tree/main/models/baseline_model)

  Simple sequential model that can recognize whether someone is happy or not.
* [Classification model](https://github.com/BB8-2020/EmpathicRobot/tree/main/models/classification_model)

  **Conv**:

  A sequential model that tries to recognize the following 7 emotions.

  1. Neutral
  2. Happy
  3. Surprise
  4. Sadness
  5. Anger
  6. Disgust
  7. Fear

     **VGG16**:

     A pre-trained model often used to recognize emotions. For more information about this model check this [keras](https://keras.io/api/applications/) page. We use here both the pre-trained version and the model without weights. Which makes us train the model ourselves with our own photos. We are still trying to recognize the same 7 emotions.
* [Validation model](https://github.com/BB8-2020/EmpathicRobot/tree/main/models/validation_model)

  A pre-trained model to use as a validation model of our self-made model.

## Installation

To run our models you need to get the data first. Therefore you can have a look at [this](https://github.com/BB8-2020/EmpathicRobot/tree/main/data) page.

Sinds you have the data, place it into a folder called `data` in `models`. After that you will be abel to run the code of every model.