Corrected version of cudatoolkit in the README

README.md

@@ -35,7 +35,7 @@ conda install -c pyviz pytables
 ```
 
 
-> :warning: **Cuda GPU support and Tensorflow**: we have tested LSTree using specific version for NVIDIA cudatoolkit (version 10.7) and NVIDIA CUDA® Deep Neural Network library (cuDNN) (version 7) libraries that work with Tensorflow 2.3. This is in accordance to the guidelines from Tensorflow, as specified their [website](https://www.tensorflow.org/install/source#gpu). Therefore it is recommended that you have the right NVIDA driver - according to [wandb.ai](https://wandb.ai/wandb/common-ml-errors/reports/How-to-Correctly-Install-TensorFlow-in-a-GPU-Enabled-Laptop--VmlldzozMDYxMDQ) it should be 418.x or higher. For more information please visit the [tensorflow.org](https://www.tensorflow.org/) website. Considering the NVIDA driver to be already installed, please install the cuda related libraries via:
+> :warning: **Cuda GPU support and Tensorflow**: we have tested LSTree using specific version for NVIDIA cudatoolkit (version 10.1) and NVIDIA CUDA® Deep Neural Network library (cuDNN) (version 7) libraries that work with Tensorflow 2.3. This is in accordance to the guidelines from Tensorflow, as specified their [website](https://www.tensorflow.org/install/source#gpu). Therefore it is recommended that you have the right NVIDA driver - according to [wandb.ai](https://wandb.ai/wandb/common-ml-errors/reports/How-to-Correctly-Install-TensorFlow-in-a-GPU-Enabled-Laptop--VmlldzozMDYxMDQ) it should be 418.x or higher. For more information please visit the [tensorflow.org](https://www.tensorflow.org/) website. Considering the NVIDA driver to be already installed, please install the cuda related libraries via:
 
 ```bash
 conda install cudatoolkit=10.1 cudnn=7