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README.md

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 # Soft-Dynamic Time Warping (Soft-DTW) for TensorFlow-Keras
-Soft-DTW loss function for batch processing in keras Tensforflow. To speed up the process, Cython function **`min(a,b,c, gamma)`** is used. The function For each batch,  first calculates the euclidean distance matrix
+[Soft-DTW](https://github.com/mblondel/soft-dtw) is a variation of Dynamic Time Wrapping. A gamma factor is introduced in the minimum function. The authors developed this distance function in python for generic use and primary implementation is available [here](https://github.com/mblondel/soft-dtw). 
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+This repository provides the implementation of Soft-DTW as loss function for batch processing in Keras/Tensorflow models. To speed up the process, Cython function **`min(a,b,c, gamma)`** is used. The function For each batch,  first calculates the euclidean distance matrix 
 
 
 # python libraries