issue when run deeplearning4J example

dl4j examples
deeplearning4j github
dl4j scala examples
deeplearning4j kotlin
please ensure that you have an nd4j backend on your classpath
deeplearning4j-examples maven
dl4j book
eclipse machine learning

I am learning deep learning, and use deeplearning4J tuts. But when i run example code, some issue there :

Caused by: java.lang.UnsatisfiedLinkError: no jnind4j in java.library.path
    at java.lang.ClassLoader.loadLibrary(
    at java.lang.Runtime.loadLibrary0(
    at java.lang.System.loadLibrary(
    at org.bytedeco.javacpp.Loader.loadLibrary(
    at org.bytedeco.javacpp.Loader.load(
    at org.nd4j.nativeblas.NativeOps.<clinit>(
    ... 18 more

i have tried some solutions on web but it doesnot work. So, if you know how to fix it, help me.

You need to unzip cuda-9.1-7.1-1.4.1-windows-x86_64.jar and nd4j-cuda-9.1-1.0.0-beta-windows-x86_64.jar somewhere, and add the paths to the native dlls to the java.library.path property when launching your app.

For example:

-Djava.library.path=C:\<path where you unzipped>\cuda-9.1-7.1-1.4.1-windows-x86_64\org\bytedeco\javacpp\windows-x86_64;C:\<path where you unzipped>\nd4j-cuda-9.1-1.0.0-beta-windows-x86_64\org\nd4j\nativeblas\windows-x86_64

Can't run dl4j-examples · Issue #837 · eclipse/deeplearning4j , Issue Description I am trying to follow this awesome tutorial but running into an issue when i try to actually run any examples. I have a feeling its  Issue Description. I am trying to follow this awesome tutorial but running into an issue when i try to actually run any examples.. I have a feeling its most likely an issue on my end but i really followed all the steps as best i could.

I had the same problem. But the issue was I was using the wrong import , nd4j-native. Instead of that I used nd4j-native-platform import and it fixed the problem. Hope it helps.

issue when run deeplearning4J example, You need to unzip cuda-9.1-7.1-1.4.1-windows-x86_64.jar and nd4j-cuda-9.1-1.0​.0-beta-windows-x86_64.jar somewhere, and add the paths  This is more of an nd4j issue. We're in the process of improving our CUDA implementation, and expect things to be working better there after the next nd4j release (should be out within a week).

I will try to answer this here, but usually this is where the chat comes in handy (a lot of asking about your environment and back and forth here..)

I'd try to answer this here, but the native code (especially with the examples) should run fine.

You could also try filing an issue:

In the mean time, read up on what an nd4j backend is:

This SHOULD be the only dependency you need to run:

The examples run out of the box for everyone we've talked to.

You don't seem to be doing anything out of the ordinary.

An alternative might just be using the nd4j-native artifact id with the appropriate classifier.

This is where you modify the nd4j backend:

You can try just getting rid of this and replacing it with 1 of the artifact ids I told you about. If that doesn't fix it, I would recommend coming in to gitter.

Please come in to gitter:

for real time help.

Quickstart - Deeplearning4j - Eclipse DeepLearning4J, This is everything you need to run DL4J examples and begin your own projects. Q: SPARK ISSUES I am running the examples and having issues with the  I first posted this on the gitter forum and then was told to create an issue so here it is: Installation Guide for deeplearning4j as far as to get the examples running on windows 7 and above 1.) In

deeplearning4j/deeplearning4j, Could someone help me with if the issue is with how I am using dl4j methods? [​ERROR] Failed to execute goal on project dl4j-examples: Could not resolve  Issue Description When I run the example cartpole with the default parameters, it can not converge to the max reward 200, I wonder what went wrong. Version Information Please indicate relevant vers

A Guide to Deeplearning4j, I followed the example to evaluate my model but the action chosen to the MDP is always the same. Is it a coding keep an eye on this issue: eclipse/​deeplearning4j#8348 (note that​ Within IntelliJ, you will need to choose the first Deeplearning4j example you're going to run. We suggest MLPClassifierLinear, as you will almost immediately see the network classify two groups of data in our UI. The file on Github can be found here. To run the example, right click on it and select the green button in the drop-down menu.

Visualize, Monitor and Debug Network Learning, See how to create a simple neural network using deeplearning4j library in Java. Training examples may contain data items with features and certain known to nd4j-cuda-8.0-platform, if we wanted to execute computations on a To solve this issue, we're going to set up l2 regularization with the line  Deeplearning4j and ND4J provide excellent performance in most cases (utilizing optimized c++ code for all numerical operations as well as high performance libraries such as NVIDIA cuDNN and Intel MKL). However, sometimes bottlenecks or misconfiguration issues may limit performance to well below the maximum.