Hello, I was able to get the DeepLearning4J example working ( https://github.com/deeplearning4j/dl4j-0.0.3.3-examples) after some extensive building and dependency updates. I haven't still run anything as I need to bring them to produce proper outputs, but I was able to compile WSO2-ML without any issues while including the deeplearning4j MNIST example.
Just for the record I had to follow the following procedure in order to get this working Download *Canova *from (https://github.com/deeplearning4j/Canova.git) and build the project and install dependency via mvn install:install-file However, in order to compile successfully, I had to skip the Tests and Javadoc check because otherwise I cannot compile it (figured out this after a discussion with one of the contributors) Download *nd4j *from (https://github.com/deeplearning4j/nd4j) and build it and install it via mvn install:install-file. Because the any of the releases do not have, do not contain the (nd4j.linalg.dataset.api.iterator) Download *DeepLearning4J *from ( https://github.com/deeplearning4j/deeplearning4j) and build it and install it via mvn install:install-file. Because the any of the releases do not have org.deepleaning4j.nn.conf.override package After the process I have following versions - Canova - 0.0.0.2-SNAPSHOT - nd4j - 0.0.3.5.5.3-SNAPSHOT - dl4j - 0.0.3.3.3.alpha1-SNAPSHOT In these conditions it compiles without any issues. So I guess we have 2 major options - continue with the locally built dependencies or - switch to a previous release which supports this example ( http://deeplearning4j.org/mnist-tutorial.html) Thank you On Fri, Mar 27, 2015 at 7:03 AM, Thushan Ganegedara <[email protected]> wrote: > We can try to maybe use a previous release corresponding to the example at > http://deeplearning4j.org/mnist-tutorial.html (may be <= 0.0.3.2) > However, as the explain this in there github issue > https://github.com/deeplearning4j/deeplearning4j/issues/173 using it > reduces the generality of the deepLearning. But I think it can get the work > done. > > > > On Thu, Mar 26, 2015 at 11:04 PM, Nirmal Fernando <[email protected]> wrote: > >> Can't we use a released version and samples corresponds to a released >> version? >> >> On Thu, Mar 26, 2015 at 5:29 PM, Thushan Ganegedara <[email protected]> >> wrote: >> >>> Dear Devs, >>> >>> For the past few days, I've been try to add deeplearning4j dependency >>> with maven and was able to do it successfully. >>> >>> However, the example provided in >>> http://deeplearning4j.org/mnist-tutorial.html uses a class called *DBN >>> *which >>> is no longer available in the latest deeplearning4j releases. >>> >>> Furthermore, they have other examples available at >>> https://github.com/deeplearning4j/dl4j-0.0.3.3-examples which again >>> uses a class (i.e. org.deeplearning4j.nn.conf.override. >>> *ClassifierOverride*) which is not available in any of the releases, >>> but only the source. I asked about this from the contributors and they told >>> me to build from the source. >>> >>> But when I tried that, I was unable to get it to compile, as Canova >>> (0.0.0.2) cannot find one of it's dependencies ( >>> *openjfx-78-backport-native*) and it's not mentioned in Canova's >>> pom.xml Therefore I tried including it in the pom.xml and compiling it. But >>> it's still giving me some problems. >>> >>> So by looking at all these information, deeplearning4j seems a little >>> bit unstable at the moment. >>> >>> I would highly appreciate your thoughts about this and if there are any >>> alternative suggestions. >>> >>> Thank you >>> >>> >>> -- >>> Regards, >>> >>> Thushan Ganegedara >>> School of IT >>> University of Sydney, Australia >>> >> >> >> >> -- >> >> Thanks & regards, >> Nirmal >> >> Senior Software Engineer- Platform Technologies Team, WSO2 Inc. >> Mobile: +94715779733 >> Blog: http://nirmalfdo.blogspot.com/ >> >> >> > > > -- > Regards, > > Thushan Ganegedara > School of IT > University of Sydney, Australia > -- Regards, Thushan Ganegedara School of IT University of Sydney, Australia
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