Update README.md

README.md

@@ -8,9 +8,9 @@ metrics:
 pipeline_tag: image-classification
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-A super tiny mnist model to demostrate the potential of the leanable non-linearity OptAEG-V1.
+A super tiny mnist model to demostrate the potential of the learnable activation - OptAEG-V1.
 
-The model reaches 96.6% accuracy with only 1.3k parameter size.
+The model can reach 96.6% accuracy with only a 1.3k parameter-size.
 
-The OptAEG-V1 learnable activation is based on a theory of Arithmetic Expression Geometry.
-The theory is still in developing, please reference https://github.com/mountain/aeg-paper
+The OptAEG-V1 learnable activation is based on a theory of Arithmetic Expression Geometry which is still in developing.
+Please visit https://github.com/mountain/aeg-paper for a reference