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Create a distributed deep learning model using data parallelism.

I need to someone to create a distributed deep learning model using data parallelism.

Test the code in 2 different datasets (I will provide the datasets) and the model architecture. And make some accuracy experiments (Will explain more about the experiments that have to be done).

For more information about the distributed model and data parallelism check this link please :

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Provide me :

Source code

Algorithm(Pseudo code) of the distributed DL training using the data parallelism

Explanation of the source code in details

Guide me to do the implementation in my computer

Skills: Deep Learning, Python, Spark, Data Science, Machine Learning (ML)

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About the Employer:
( 1 review ) Tokyo, Japan

Project ID: #21705094

9 freelancers are bidding on average $182 for this job

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