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• 

  over 6 years ago by riafarov | Reply

  Hey! There are deep learning AMIs in AWS, I've used them for my experiments with CUDA: https://aws.amazon.com/blogs/machine-learning/get-started-with-deep-learning-using-the-aws-deep-learning-ami/ It's possible to run them on micro instance, so only storage will be chargeable

  • 

    over 6 years ago by arun_kant | Reply

    Yes, I have been using these AMIs in AWS with spot instances in US east AZ. These AMIs helps a lot in rebuilding with new spot instances and have some chargeable storage for configuration.

    Thanks for sharing the information.

    Any other tooling or specific material you find interesting for learning deep learning?

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  Edit Comment 3662
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  Yes, I have been using these AMIs in AWS with spot instances in US east AZ. These AMIs helps a lot in rebuilding with new spot instances and have some chargeable storage for configuration. Thanks for sharing the information. Any other tooling or specific material you find interesting for learning deep learning?
   
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  Reply to arun_kant
  Yes, I have been using these AMIs in AWS with spot instances in US east AZ. These AMIs helps a lot in rebuilding with new spot instances and have some chargeable storage for configuration.
  Thanks for sharing the information.
  Any other tooling or specific material you find interesting for learning deep learning?
  ---
  # A First Level Header
  ## A Second Level Header
  
  Use one asterisk to *emphasize*
  
  Use two asterisks for **strong emphasis**
  
  - Use hyphens
  - for unordereed
  - lists
  
  This is an [link to example.com](http://example.com/)
  
  This is an image ![an openSUSE geeko icon](https://en.opensuse.org/images/d/d0/Icon-distribution.png)
  
  This is a user link @hans
  
  This is a project link hw#some-cool-title
  
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Edit Comment 3534
# A First Level Header
## A Second Level Header

Use one asterisk to *emphasize*

Use two asterisks for **strong emphasis**

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This is an [link to example.com](http://example.com/)

This is an image ![an openSUSE geeko icon](https://en.opensuse.org/images/d/d0/Icon-distribution.png)

This is a user link @hans

This is a project link hw#some-cool-title
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Hey! There are deep learning AMIs in AWS, I've used them for my experiments with CUDA: https://aws.amazon.com/blogs/machine-learning/get-started-with-deep-learning-using-the-aws-deep-learning-ami/ It's possible to run them on micro instance, so only storage will be chargeable
 
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Reply to riafarov
Hey! There are deep learning AMIs in AWS, I've used them for my experiments with CUDA: https://aws.amazon.com/blogs/machine-learning/get-started-with-deep-learning-using-the-aws-deep-learning-ami/ It's possible to run them on micro instance, so only storage will be chargeable
---
# A First Level Header
## A Second Level Header

Use one asterisk to *emphasize*

Use two asterisks for **strong emphasis**

- Use hyphens
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This is an [link to example.com](http://example.com/)

This is an image ![an openSUSE geeko icon](https://en.opensuse.org/images/d/d0/Icon-distribution.png)

This is a user link @hans

This is a project link hw#some-cool-title
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  over 6 years ago by arun_kant | Reply

  Finished google machine learning crash course (https://developers.google.com/machine-learning/crash-course/?authuser=4) with exercises in playground and colaboratory environment.

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Finished google machine learning crash course (https://developers.google.com/machine-learning/crash-course/?authuser=4) with exercises in playground and colaboratory environment.
 
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Reply to arun_kant
Finished google machine learning crash course (https://developers.google.com/machine-learning/crash-course/?authuser=4) with exercises in playground and colaboratory environment.
---
# A First Level Header
## A Second Level Header

Use one asterisk to *emphasize*

Use two asterisks for **strong emphasis**

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This is an [link to example.com](http://example.com/)

This is an image ![an openSUSE geeko icon](https://en.opensuse.org/images/d/d0/Icon-distribution.png)

This is a user link @hans

This is a project link hw#some-cool-title
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