Update Readme.md

README.md

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 # Template codes for Deep learning with Pytorch
 This repo provides different pytorch implementation for training a deep learning model. It uses a simple classification task example for [CIFAR10 Dataset](https://www.cs.toronto.edu/~kriz/cifar.html) to show:
-  1. A simple vanilla, [single-GPU implementation](#single-gpu-pytorch-implementation)
-  2. A [multi-GPU, distributed data parallel implementation](multi-gpu-pytorch-implementation)
-  3. A [Pytorch-ligtning implementation](pytorch-ligtning-implementation) along with tracking and visualization in TensorBoard
-  4. A [Pytorch-ligtning Hydra implementation](pytorch-ligtning-hydra-implementation) for rapid experimentation and prototyping using new models/datasets
+  1. A simple vanilla, [single-GPU implementation](#single-gpu-implementation)
+  2. A [multi-GPU implementation](#multi-gpu-implementation) using Distrbuted data parallel
+  3. A [Pytorch-ligtning implementation](#pytorch-lightning-implementation) along with tracking and visualization in TensorBoard
+  4. A [Pytorch-ligtning Hydra implementation](#pytorch-lightning-hydra-implementation) for rapid experimentation and prototyping using new models/datasets
 
 # Single-GPU implementation
 
-# Multi-GPU distributed data parallel implementation
+# Multi-GPU implementation
 
 # Pytorch-lightning implementation