Deep Learning Notebooks on AzureML

This project contains Deep-learning tutorials notebooks from the assignments of the DeepLearning.ai courses in Coursera.

Prerequisites

In order to run these notebooks in your local machine, install anaconda which contains all the required packages required. Anaconda is an open source distribution and is the easiest way to perform Python/R data science and machine learning on Linux, Windows and Mac OS X. It is industry standard for developing, testing ad training on a single machine.

There are also a few pre-trained model which is required to run a few notebooks, the download links for those files are mentioned below:

• ResNet50.h5
• yolo.h5
• imagenet-vgg-verydeep-19.mat

Installing

Download the Anaconda Distribution from here and install in your local machine. This would install all the required packages and jupyter notebook in your machine.

Running the notebooks in your local machine:

First git clone the project in your local machine directory. Next download the the pre-trained models from the link above and save them in the following path:

ResNet50.h5 -> \Deep-Learning Labs\03. Convolutional Neural Networks\13. Residual Networks>

yolo.h5 -> .\Deep-Learning Labs\03. Convolutional Neural Networks\14. Autonomous driving application Car detection\model_data

imagenet-vgg-verydeep-19.mat -> .\Deep-Learning Labs\03. Convolutional Neural Networks\16. Art Generation with Neural Style Transfer\pretrained-model

Windows

If you are using a Windows OS,

1. From the Start menu, search for and open “Anaconda Prompt".
2. cd to the project directory.
3. type 'jupyter notebook'.
4. Jupyter notebook open in your default browser.
5. Using jupyter notebook naviagate to the tutorial folder you want to run.
6. Open the notebook (extension .ipynb).
7. Use the tutorials.

Linux

If you are using a Linux OS,

1. Open linux terminal window.
2. cd to the project directory.
3. type 'jupyter notebook'.
4. Jupyter notebook open in your default browser.
5. Using jupyter notebook naviagate to the tutorial folder you want to run.
6. Open the notebook (extension .ipynb).
7. Use the tutorials.

Mac OS

If you are using a Mac OS,

1. Open Launchpad, then click the terminal icon.
2. cd to the project directory.
3. type 'jupyter notebook'.
4. Jupyter notebook open in your default browser.
5. Using jupyter notebook naviagate to the tutorial folder you want to run.
6. Open the notebook (extension .ipynb).
7. Use the tutorials.