Update README.md

README.md

@@ -509,6 +509,26 @@ Follow these steps:
 
 TensorFlow is an open-source library for solving problems of Machine Learning, Deep Learning, and Artificial Intelligence. It can be used to solve a large number of problems across different sectors and industries but primarily focuses on training and inference in neural networks. It is one of the most popular and in-demand frameworks, and very active in terms of open-source contribution and development.
 
+```mermaid
+flowchart LR
+    PyTorch-->Install-PyTorch
+    PyTorch-->Test-PyTorch
+    PyTorch-->Run-PyTorch
+    Install-PyTorch-->Use-Docker-Image 
+    Install-PyTorch-->Use-wheels-package
+    Install-PyTorch-->Use-PyTorch-Rocm-base-Docker-Image
+    Install-PyTorch-->Use-PyTorch-upstream-Docker-file
+    
+    click PyTorch href "https://github.com/anubhavamd/Deep-Learning-Updated#31-pytorch"
+    click Install-PyTorch href "https://github.com/anubhavamd/Deep-Learning-Updated#311-installing-pytorch"
+    click Test-PyTorch href "https://github.com/anubhavamd/Deep-Learning-Updated#312-test-the-pytorch-installation"
+    click Run-PyTorch href "https://github.com/anubhavamd/Deep-Learning-Updated#313-run-a-basic-pytorch-example"
+    click Use-Docker-Image href "https://github.com/anubhavamd/Deep-Learning-Updated#3111-option-1-recommended-use-docker-image-with-pytorch-pre-installed"
+    click Use-wheels-package href "https://github.com/anubhavamd/Deep-Learning-Updated#3112-option-2-install-pytorch-using-wheels-package"
+    click Use-PyTorch-Rocm-base-Docker-Image href "https://github.com/anubhavamd/Deep-Learning-Updated#3113-option-3-install-pytorch-using-pytorch-rocm-base-docker-image"
+    click Use-PyTorch-upstream-Docker-file href "https://github.com/anubhavamd/Deep-Learning-Updated#3114-option-4-install-using-pytorch-upstream-docker-file"
+```
+
 ### 3.2.1 Installing TensorFlow
 
 #### 3.2.1.1 Option 1: Install TensorFlow using Docker image