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Update README.md
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diegonat authored Oct 24, 2018
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Expand Up @@ -33,7 +33,7 @@ First, install development tools and the libraries required to compile MXNet. Ap

We are NOT going to use OpenCV, required by MXNet for image processing functions, and NVIDIA CUDA / cuDNN since we do not need to run Apache MXNet with GPU support.

If you want to know more on the dependencies and options to build Apache MXNet from sources, please visit (https://mxnet.incubator.apache.org/install/build\_from\_source.html)[https://mxnet.incubator.apache.org/install/build\_from\_source.html].
If you want to know more on the dependencies and options to build Apache MXNet from sources, please visit [https://mxnet.incubator.apache.org/install/build\_from\_source.html](https://mxnet.incubator.apache.org/install/build\_from\_source.html).

Execute the following commands in your home folder:

Expand Down Expand Up @@ -131,4 +131,4 @@ aws s3 cp mxnet.tar.gz s3://{your_bucket}/
Now you can run a test by creating an AWS Lambda function starting from the package content and write a simple Python lambda handler that executes some basic MXNet code.

Finally, after ensuring the package works as expected, you can terminate the EC2 instance to avoid incurring in unexpected charges.


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