Commit 4964eeea authored by Robin Schnaidt's avatar Robin Schnaidt

Update readme

parent e388181a
......@@ -14,20 +14,22 @@ as listed below.
### Data Pre-Processing:
Dataframe_preparation.ipynb: Data preprocessing (as provided by TECO/Kinemic)
- Dataframe_preparation.ipynb: Data preprocessing (as provided by TECO/Kinemic)
### Data Exploration:
exploration/Exploration.ipynb: Basic data exploration
exploration/RTLS_Exploration.ipynb: Further exploration or RTLS sensor data.
- exploration/Exploration.ipynb: Basic data exploration
- exploration/RTLS_Exploration.ipynb: Further exploration or RTLS sensor data.
### CNNs:
#### Simplenet
simplenet/simplenet\*.ipynb: The Simplenet CNNs based on TECO’s suggested architecture
- simplenet/simplenet\*.ipynb: The Simplenet CNNs based on TECO’s suggested architecture
#### Stacknet
stacknet.ipynb: The Stacknet CNN built of Simplenet layers, to improve on its performance
- stacknet.ipynb: The Stacknet CNN built of Simplenet layers, to improve on its performance
#### Mutinet
......@@ -41,15 +43,15 @@ stacknet.ipynb: The Stacknet CNN built of Simplenet layers, to improve on its pe
### Random Forest:
random forest/RF\*.ipynb: The Random Forest classifiers applied to the data set
- random forest/RF\*.ipynb: The Random Forest classifiers applied to the data set
### Other Experiments:
#### Hybridnet
hybridnet.ipynb: An experimental setup combining the classification results of two models, slightly improving performance
- hybridnet.ipynb: An experimental setup combining the classification results of two models, slightly improving performance
### Summary and Further Documents:
slides presentation.pdf: Main presentation slides from July 6th 2020
model performance.xlsx, model performance compact.png: Overview of model performance
- slides presentation.pdf: Main presentation slides from July 6th 2020
- model performance.xlsx, model performance compact.png: Overview of model performance
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