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 :
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