CODEWITHSUNDEEP
tensorflowneural-networkdeep-learninggoogle-cloud-platformgoogle-cloud-ml
lelli
lelli

Reputation: 41

Already implemented neural network on Google Cloud Platform

I have implemented a neural network model using Python and Tensorflow, which normally runs on my own computer. Now I would like to train it on new datasets on the Google Cloud Platform. Do you think it is possible? Do I need to change my code?

Thank you very much for your help!

Upvotes: 1

Views: 289

Answers (1)

dsesto
dsesto

Reputation: 8178

Google Cloud offers the Cloud ML Engine service, which allows to train your models and perform predictions without the need of running and maintaining an instance with the required software.

In order to run the TensorFlow NN models you already have, you will not need to change your code, you will only have to package the trainer appropriately, as described in the documentation, and run a ML Engine job that performs the training itself. Once you have your model, you can also deploy it in the same service and later get predictions with different features depending on your requirements (urgency in getting the predictions, data set sources, etc.).

Alternatively, as suggested in the comments, you can always launch a Compute Engine instance and run there your TensorFlow model as if you were doing it locally in your computer. However, I would strongly recommend the approach I proposed earlier, as you will be saving some money, because you will only be charged for your usage (training jobs and/or predictions) and do not need to configure an instance from scratch.

Upvotes: 1

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