Update notebooks/README.md

Co-authored-by: Rohit Gupta <[email protected]>

notebooks/README.md

@@ -11,4 +11,4 @@ You can easily run any of the official notebooks by clicking the 'Open in Colab'
 | **GAN**                  | Train a GAN on the MNIST Dataset. Learn how to use multiple optimizers in Lightning. |            [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/PytorchLightning/pytorch-lightning/blob/master/notebooks/03-basic-gan.ipynb)             |
 | **BERT**                 | Fine-tune HuggingFace Transformers models on the GLUE Benchmark                      | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/PytorchLightning/pytorch-lightning/blob/master/notebooks/04-transformers-text-classification.ipynb) |
 | **Trainer Flags**        | Overview of the available Lightning `Trainer` flags                                  |      [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/PytorchLightning/pytorch-lightning/blob/master/notebooks/05-trainer-flags-overview.ipynb)      |
-| **94% Baseline CIFAR10** | Establish a quick baseline of ~94% accuracy on CIFAR10 using Resnet in Lightning     |         [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/PytorchLightning/pytorch-lightning/blob/master/notebooks/06-cifar10-baseline.ipynb)         |
+| **94% Baseline CIFAR10** | Establish a quick baseline of ~94% accuracy on CIFAR10 with Resnet using Lightning     |         [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/PytorchLightning/pytorch-lightning/blob/master/notebooks/06-cifar10-baseline.ipynb)         |