scalytics
/

LST-E

2pk03 commited on May 13, 2023

Commit

44928eb

1 Parent(s): 7146f9c

Update README.md

Files changed (1) hide show

README.md CHANGED Viewed

@@ -17,5 +17,6 @@ there is no t=0 and each timestamp uses the value from t-1.
 Finally, there's the 2-layer plain vanilla LTSM. After 11 epochs, I reached a loss of 10.86 which is rather mediocre. However, the main idea here is to build a basic forecasting model
 for which this seems appropriate.
-![LTSM](https://github.com/databloom-ai/LLM-LTSM/blob/main/energy-forcast/LTSM.png?raw=true)

 Finally, there's the 2-layer plain vanilla LTSM. After 11 epochs, I reached a loss of 10.86 which is rather mediocre. However, the main idea here is to build a basic forecasting model
 for which this seems appropriate.
+![LTSM](https://github.com/databloom-ai/LLM-LTSM/blob/main/energy-forcast/LTSM.png?raw=true)
+***Happy Hacking!***