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@@ -92,7 +92,7 @@ Some of the common workflows involving the use of GPUs are presented below.
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### Transferring Training Data
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In order to train the model using the GPU both model and the training data have be transferred to GPU memory. This process can be done with the `gpu` function in two different ways:
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In order to train the model using the GPU both model and the training data have to be transferred to GPU memory. This process can be done with the `gpu` function in two different ways:
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1. Iterating over the batches in a [DataLoader](@ref) object transfering each one of the training batches at a time to the GPU.
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