Update README.md

README.md

@@ -1,6 +1,6 @@
 # Geonosis
 
-Geonosis is a transformer-based autoencoder built to perform both classification (without the decoder portion) and synthetic data generation (with the decoder portion). It is named after [Geonosis](https://starwars.fandom.com/wiki/Geonosis), a planet in Star Wars franchise where the droids were manufactured.
+Geonosis is a transformer-based autoencoder built to perform both classification (without the encoder only), synthetic data generation (with decoder only), or noise reduction (encoder-decoder paired). It is named after [Geonosis](https://starwars.fandom.com/wiki/Geonosis), a planet in Star Wars franchise where the droids were manufactured.
 
 ## Setting up
 
@@ -15,8 +15,17 @@ To enter the docker container, run `launch.sh` for Linux or `winlaunch.ps1` for
 Windows. Once inside, change directory to `/app/code` and run the desired
 script.
 
-Inputs:
-.mat files in the file dump
+### Encoding
+Required Inputs:
+.mat files in the matfiles directory, .hdf5 file in hdf5 directory, or .csv files in csv directory.
 
-Model inputs:
-* matrix containing 130 feature vectors corresponding to frequency
+Model inputs (x):
+* A matrix containing 130 feature vectors corresponding to frequency, each 26 tokens long, corresponding to number of measurements.
+* (Work in progress) 3x26 matrix containing backscatter brightness, normalized standard deviation and backscatter brightness.
+
+Encoder output (y):
+* Two 1xN one-hot encoded classification vectors that predicts sample type and treatment applied.
+
+### Decoding
+
+Work in progress