|
# Modified AlexNet with CNN Visualisation |
|
|
|
<!-- Provide a quick summary of what the model is/does. --> |
|
|
|
This model was used to understand cognitive processing of predicting other individuals goals from various sources of information, like gaze, hand preshape or arm trajectory. |
|
|
|
## Model Details |
|
|
|
### Model Description |
|
|
|
The model uses AlexNet and changes to the FCC allow for CNN visualisation of the predictions confidence regions. |
|
|
|
![image/png](https://cdn-uploads.huggingface.co/production/uploads/6319030647a84df2a5dd106c/SJaIDJOMhAWMofspB3jJQ.png) |
|
|
|
|
|
|
|
![image/gif](https://cdn-uploads.huggingface.co/production/uploads/6319030647a84df2a5dd106c/_2hquoFZChGzhVsDOpozl.gif) |
|
|
|
|
|
- **Developed by:** Michael Peres |
|
- **Model type:** AlexNet with adapted for CNN Visualations. |
|
- **Finetuned from model [optional]:** AlexNet |
|
|
|
### Model Sources |
|
|
|
<!-- Provide the basic links for the model. --> |
|
|
|
- **Paper:** Ambrosini E, Pezzulo G, Costantini M. The eye in hand: predicting others' behavior by integrating multiple sources of information. J Neurophysiol. 2015 Apr 1;113(7):2271-9. doi: 10.1152/jn.00464.2014. Epub 2015 Jan 7. PMID: 25568158; PMCID: PMC4416586. |
|
- **Demo:** https://youtu.be/XV4zjh63Yfk |
|
|
|
|
|
## Bias, Risks, and Limitations |
|
|
|
<!-- This section is meant to convey both technical and sociotechnical limitations. --> |
|
Model may have learnt specific constants from background to make predictions and not learnt say eye gaze, hand preshape or arm trajectory. |
|
|
|
[More Information Needed] |
|
|
|
### Recommendations |
|
|
|
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> |
|
|
|
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. |
|
|
|
## How to Get Started with the Model |
|
|
|
Use the code below to get started with the model. |
|
|
|
[More Information Needed] |
|
|
|
## Training Details |
|
|
|
### Training Data |
|
|
|
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. --> |
|
|
|
[More Information Needed] |
|
|
|
|
|
## Environmental Impact |
|
|
|
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly --> |
|
|
|
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). |
|
|
|
- **Hardware Type:** RTX 3070Ti |
|
- **Hours used:** 2 |
|
|
|
## Model Card Contact |
|
|
|
Michael Peres |
|
michaelperes562@gmail.com |