File size: 2,664 Bytes
7471e05 aece65c 7471e05 aece65c 7471e05 aece65c 7471e05 aece65c 7471e05 aece65c 7471e05 aece65c 7471e05 aece65c 7471e05 aece65c 7471e05 aece65c 7471e05 aece65c 7471e05 aece65c 7471e05 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 |
# 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.
- **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 |