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goodboyanush / iiit-bangalore-march-april-2019

Course notes, some coding, assignments, and etc.
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Assignment2 #4

Closed IP-CAD closed 5 years ago

IP-CAD commented 5 years ago

To use GPU powered notebooks, I couldn't find option for that in the Environment tab. Attaching the screenshot. Untitled

goodboyanush commented 5 years ago

Yes, I just found that GPU powered notebooks are not yet publicly available. It is expected to come soon. In the meantime, you have the following options

  1. The cpu machines are pretty good in notebook. You can run in the cpu machines
  2. Use neural network modeler. Through which you can run your code in GPU.
  3. Write the code locally and submit an 'experiment'. You should get good documentation on how to do this.
IP-CAD commented 5 years ago

Yes, I just found that GPU powered notebooks are not yet publicly available. It is expected to come soon. In the meantime, you have the following options

  1. The cpu machines are pretty good in notebook. You can run in the cpu machines
  2. Use neural network modeler. Through which you can run your code in GPU.
  3. Write the code locally and submit an 'experiment'. You should get good documentation on how to do this.

Thanks. Will check that.

IP-CAD commented 5 years ago

Hi, Using 'experiment', the available frameworks to build the model is tensorflow, pytorch and caffe. Couldn't find Keras.

goodboyanush commented 5 years ago

Hi Keras is supported. See here: https://dataplatform.cloud.ibm.com/docs/content/wsj/analyze-data/pm_service_supported_frameworks.html#supported-deep-learning-frameworks

Also, see some examples here:

  1. https://dataplatform.cloud.ibm.com/docs/content/wsj/analyze-data/xs-overview.html?linkInPage=true
  2. https://dataplatform.cloud.ibm.com/docs/content/wsj/analyze-data/ml_dlaas_e2e_example.html
  3. https://dataplatform.cloud.ibm.com/docs/content/wsj/analyze-data/ml_dlaas_code_guidelines.html
goodboyanush commented 5 years ago

@ammuvikas Please check #6