The documentation says the library runs on GPUs. If my powerful laptop doesn't have a GPU, can I still run Deeplearning4J?
We don't imply anywhere in our docs that we only run on gpus. If for some reason you found that to be the case, could you notify us in a github issue? https://github.com/deeplearning4j/deeplearning4j/issues
You only need an nd4j backend: http://nd4j.org/backend.html
Dl4j unlike a lot of other libraries decouples the hardware implementation from the algorithms. The ticket here is our tensor library nd4j. Nd4j handles all the computation.
Think of it is "tensorflow/theano" if you will.
We deploy all of our native binaries to maven central.
Usually all you need is: http://search.maven.org/#search%7Cga%7C1%7Cnd4j-native-platform
for cpu. GPU, we support the 2 latest cuda versions: http://search.maven.org/#search%7Cga%7C1%7Cnd4j-cuda-7.5-platform
The same exact code as is also works on android and pis: http://deeplearning4j.org/android
Same idea, you don't compile from source, just specify the right backend.
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