1. Apache MXNet | Installation

2. Prerequisites
Pip installation (OSX or Linux) | Python, OpenCV, OpenBlas
AWS Cloud using AMIs| AWS Account

3. Simple 1-line install: Pip install mxnet
Pip Installation
Simple 1-line install: Pip install mxnet

4. Git Clone https://github.com/dmlc/mxnet-notebooks/
Pip Installation
Git Clone

5. Browser window now open with your directory of notebooks
Pip Installation
Browser window now open with your directory of notebooks

6. Navigate to the AWS Management Console
Using the AWS Cloud
Navigate to the AWS Management Console

7. Using the AWS Cloud
Choose EC2

8. Search Deep Learning AMI, and choose the OS version:
Using the AWS Cloud
Search Deep Learning AMI, and choose the OS version:

9. Select the instance type to launch
Using the AWS Cloud
Select the instance type to launch

10. Edit your security group to allow access using only your IP address
Using the AWS Cloud
Edit your security group to allow access using only your IP address

11. Review your instance, and choose Launch
Using the AWS Cloud
Review your instance, and choose Launch

12. For secure access, select or create a new private key file
Using the AWS Cloud
For secure access, select or create a new private key file

13. To find your instance DNS, navigate to the instance
Using the AWS Cloud
 To find your instance DNS, navigate to the instance

14. Using the AWS Cloud
Connect to your instance by using SSH, and set up an SSH tunnel:
Format: SSH -f -N –L localhost:8888:localhost:8888 –i <your .pem file name> instance DNS>

15. Open Jupyter using the command: jupyter notebook
Using the AWS Cloud
Open Jupyter using the command: jupyter notebook

16. Open a browser window and navigate to localhost:port
Using the AWS Cloud
Open a browser window and navigate to localhost:port

17. Using the AWS Cloud
Open a new notebook, import MXNet, and start coding or try out a tutorial

18. Thank You!