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Hi,
It seems that even the simplest keras models are not translating well into DL4J for some reason. The stack trace varies slightly but is always along the lines of
Exception in thread "main" ja…
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#### Issue Description
I am attempting to train models in parallel using threading or ExecutorService. In doing so, process memory seems to continually grow until an OutOfMemoryError is thrown. B…
copeg updated
5 years ago
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Mini batch not working, and gradient descent taking a lot of time.
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/*ConvNN Class File*/
```
public class CovNNTesting {
public CovNNTesting(){}
private static final Logger log = LoggerFactory.getLogger(CovNNTesting.class);
public static void main(String[…
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Hi @ben-manes,
I have created a trace from a production system where I see Caffeine underperforming a simple LRU strategy (with a cache size of 100k items, Caffeine hit rate is 72.35% vs 75.91% with …
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Hi,
I've went over documentation and found it to be insufficient to me for fully understand (intuitively) the way big graph works.
When assigning an operator to a relation, we act on the RHS entit…
idanh updated
5 years ago
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This is a follow-up on a Gitter conversation, and not an actual problem with DL4J per se, but if anyone has ideas on how to proceed, it would be helpful.
I'm trying to implement the Neural Style Tr…
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I want to know whether the parameter setting for imagenet is same as cifar ? I load the inception V3 and search for the c via 9 times binary search, which cost much time for training, can you share s…
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Thanks for your implementation.when I finetune the model using your train.py with the pre-trained model on my own data ,the loss didn't convergence.Do you have any suggesstion?
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As far as modern libraries are concerned, there is not much support for depth-wise separable operations, i.e. we cannot write custom operations that can be done depthwise. Only convolutions are suppor…