From c543867340706bc873eca63eb6a29c6ba0394fc6 Mon Sep 17 00:00:00 2001
From: Aladdin Persson <Aladdin.persson@hotmail.com>
Date: Fri, 8 Dec 2023 15:35:07 +0100
Subject: [PATCH] updated readme for docker

---
 README.md | 61 +++++++++++++++++++++++++++++--------------------------
 1 file changed, 32 insertions(+), 29 deletions(-)

diff --git a/README.md b/README.md
index 834e23a..920e061 100644
--- a/README.md
+++ b/README.md
@@ -21,35 +21,7 @@ In this repository you will find tutorials and projects related to Machine Learn
 - [TensorFlow Tutorials](#tensorflow-tutorials)
 	- [Beginner Tutorials](#beginner-tutorials)
 	- [Architectures](#CNN-Architectures)
-
-## Docker Setup
-Follow the steps below to use Docker for setting up a consistent development environment:
-
-1. **Install Docker**  
-   If you don't have Docker installed, use these links to install Docker for your system:
-   - [Install Docker Engine](https://docs.docker.com/engine/install/)
-
-2. **Nvidia Container Toolkit (For GPU support)**  
-   If you want to utilize GPU acceleration with CUDA, install the Nvidia Container Toolkit:
-   - [Nvidia Container Toolkit Installation Guide](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/install-guide.html)
-
-3. **Build the Docker Image**  
-   Navigate to the directory containing the Dockerfile and run:
-   ```bash
-   docker build -t aladdin-image .
-   ```
-
-4. **Run the Docker Container**  
-   Once the image is built, start the container using the following command:
-   ```bash
-   docker run -it \
-     --gpus all \
-     -v "${PWD}:/code" \
-     -p 8080:8080 \
-     --name "aladdin-container" \
-     --env AUTHENTICATE_VIA_JUPYTER="mytoken" \
-     aladdin-image
-   ```
+- [Docker setup](#docker-setup)
 
 
 ## Machine Learning
@@ -175,3 +147,34 @@ If you have any specific video suggestion please make a comment on YouTube :)
 * [GoogLeNet](https://github.com/aladdinpersson/Machine-Learning-Collection/tree/master/ML/TensorFlow/CNN_architectures/GoogLeNet)
 * [ResNet](https://github.com/aladdinpersson/Machine-Learning-Collection/tree/master/ML/TensorFlow/CNN_architectures/ResNet)
  
+
+## Docker Setup
+Follow the steps below to use Docker for setting up a consistent development environment:
+
+1. **Install Docker**  
+   If you don't have Docker installed, use these links to install Docker for your system:
+   - [Install Docker Engine](https://docs.docker.com/engine/install/)
+
+2. **Nvidia Container Toolkit (For GPU support)**  
+   If you want to utilize GPU acceleration with CUDA, install the Nvidia Container Toolkit:
+   - [Nvidia Container Toolkit Installation Guide](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/install-guide.html)
+
+3. **Build the Docker Image**  
+   Navigate to the directory containing the Dockerfile and run:
+   ```bash
+   docker build -t aladdin-image .
+   ```
+
+4. **Run the Docker Container**  
+   Once the image is built, start the container using the following command:
+   ```bash
+   docker run -it \
+     --gpus all \
+     -v "${PWD}:/code" \
+     -p 8080:8080 \
+     --name "aladdin-container" \
+     --env AUTHENTICATE_VIA_JUPYTER="mytoken" \
+     aladdin-image
+   ```
+
+