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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 :

[login to view URL]

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

Compétences : Deep Learning, Python, Spark, Science des données, Machine Learning (ML)

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Concernant l'employeur :
( 1 commentaire ) Tokyo, Japan

Nº du projet : #21705094

9 freelance font une offre moyenne de $182 pour ce travail

schoudhary1553

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5.8
freelancerpr0

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5.4
dineshrajputit

Hi, I have 8 years of experience and working on hadoop, spark, nosql, java, BI tools(tableau, powerbi), cloud(Amazon, Google, Microsoft Azure)... Done end to end data warehouse management projects on aws cloud with ha Plus

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3.9
rexzetsolutions

i can Create a distributed deep learning model using data parallelism. ready to start work form now

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3.2
mukasa7

hello. I am a deep learning expert with full-stack experience for more than 7 years. I can do it perfectly. I like this project.

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3.4
dks89719

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KalaDolphin

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hsh564cf84accd96

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abbas2540

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0.0