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updated readme for docker
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README.md
31
README.md
@@ -4,7 +4,6 @@
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[](https://travis-ci.com/aladdinpersson/Machine-Learning-Collection) [](https://opensource.org/licenses/MIT)
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[logo]: https://github.com/AladdinPerzon/Machine-Learning-Collection/blob/master/ML/others/logo/youtube_logo.png
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# Machine Learning Collection
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@@ -23,6 +22,36 @@ In this repository you will find tutorials and projects related to Machine Learn
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- [Beginner Tutorials](#beginner-tutorials)
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- [Architectures](#CNN-Architectures)
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## Docker Setup
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Follow the steps below to use Docker for setting up a consistent development environment:
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1. **Install Docker**
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If you don't have Docker installed, use these links to install Docker for your system:
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- [Install Docker Engine](https://docs.docker.com/engine/install/)
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2. **Nvidia Container Toolkit (For GPU support)**
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If you want to utilize GPU acceleration with CUDA, install the Nvidia Container Toolkit:
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- [Nvidia Container Toolkit Installation Guide](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/install-guide.html)
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3. **Build the Docker Image**
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Navigate to the directory containing the Dockerfile and run:
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```bash
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docker build -t aladdin-image .
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```
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4. **Run the Docker Container**
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Once the image is built, start the container using the following command:
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```bash
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docker run -it \
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--gpus all \
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-v "${PWD}:/code" \
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-p 8080:8080 \
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--name "aladdin-container" \
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--env AUTHENTICATE_VIA_JUPYTER="mytoken" \
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aladdin-image
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```
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## Machine Learning
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* [![Youtube Link][logo]](https://youtu.be/pCCUnoes1Po) [Linear Regression](https://github.com/AladdinPersson/Machine-Learning-Collection/blob/master/ML/algorithms/linearregression/linear_regression_gradient_descent.py) **- With Gradient Descent** :white_check_mark:
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* [![Youtube Link][logo]](https://youtu.be/DQ6xfe75CDk) [Linear Regression](https://github.com/AladdinPersson/Machine-Learning-Collection/blob/master/ML/algorithms/linearregression/linear_regression_normal_equation.py) **- With Normal Equation** :white_check_mark:
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