Run deeplearning4j without GPU?

The documentation says the library runs on GPUs. If my powerful laptop doesn't have a GPU, can I run Deeplearning4J?

+3


source to share


1 answer


We do not imply anywhere in our documents that we only work on gpus. If for some reason you find that this is the case, could you please notify us in the github issue? https://github.com/deeplearning4j/deeplearning4j/issues

You only need the nd4j backend: http://nd4j.org/backend.html

Dl4j, unlike many other libraries, decouples the hardware implementation from the algorithms. The ticket here is our nd4j tensor library. Nd4j handles all calculations.

Think of it as "tensorflow / anano" if you like.

We are embedding all of our source binaries into the central part of maven.



Usually you only need: http://search.maven.org/#search%7Cga%7C1%7Cnd4j-native-platform

for cpu. GPU, we support 2 latest cuda versions: http://search.maven.org/#search%7Cga%7C1%7Cnd4j-cuda-7.5-platform

The same exact code that also works on android and pis: http://deeplearning4j.org/android

Same idea that you don't compile from source, just provide the correct backend.

+4


source







All Articles