gzack / nd4j

nd4j site

ND4J

A Numpy and Matlab like environment for cross-platform scientific computing.

• Supports GPUs via CUDA and Native via Jblas.
• All of this is wrapped in a unifying interface.
• The API is a mix of Numpy and Jblas.

An example creation:

       INDArray arr = Nd4j.create(new float[]{1,2,3,4},new int[]{2,2});

This will create a 2 x 2 NDarray. ###Setup

Please see: http://nd4j.org/getstarted.html

Basics

In-place operations:

         INDArray arr = Nd4j.create(new float[]{1,2,3,4},new int[]{2,2});
         //scalar operation
         arr.addi(1);

         //element wise operations
         INDArray arr2 = ND4j.create(new float[]{5,6,7,8},new int[]{2,2});
         arr.addi(arr2);

Duplication operations:

         //clone then add
         arr.add(1);
         //clone then add
         arr.add(arr2);

Dimensionwise operations (column and row order depending on the implementation chosen)

         arr.sum(0);