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I'm using a BasicNetwork, which I train synchronously and later validate a large dataset against it in parallel. Unfortunately, calling network.Compute(input, output) returns corrupted data when it is receiving requests in parallel.
Additional information:
The network contains 3 layers and uses the sigmoid activation function and weights are initialized using the ConsistentRandomizer.
The text was updated successfully, but these errors were encountered:
I'm using a BasicNetwork, which I train synchronously and later validate a large dataset against it in parallel. Unfortunately, calling network.Compute(input, output) returns corrupted data when it is receiving requests in parallel.
Additional information:
The network contains 3 layers and uses the sigmoid activation function and weights are initialized using the ConsistentRandomizer.
The text was updated successfully, but these errors were encountered: