Java Convolutional Neural Network (CNN) package combined with Apache Spark framework
DeepSpark_java is an early version of ongoing DeepSpark project (https://.com/deepspark/deepspark) implemented in pure java and jBlas. It provides GPU Acceleration using jCublas. (gpuAccel option)
DeepSpark_java also supports local training running on single machine and distributed (sync & async) training aided by Apache Spark (http://spark.apache.org/)
| Class | Description |
|---|---|
| Tensor | Base class for Tensor. Implemented using jBlas |
| Weight | Class for representing Network parameters |
| Sample | Class for representing Data container |
Weight and Sample class are implemented using Tensor.
To load custom dataset, users should create own data loader to be compatible with Sample .
We provide built-in Mnist/CIFAR/ImageNet loader (See examples on src/main/java/org/acl/deepspark/utils/)
| Layer | Description |
|---|---|
| Layer | Base interface for layers |
| BaseLayer | Abstract class implementing Layer interface |
| ConvolutionLayer | Convolutional layer |
| PoolingLayer | Pooling (subsampling) layer |
| FullyConnectedLayer | Normal fully connected layer |
Users should define LayerConf to specify layer details (LayerType, kernel width/height, stride, padding etc.)
To add more options, check on src/main/java/org/acl/deepspark/nn/conf/LayerConf
| Layer | Description |
|---|---|
| NeuralNet | Class for representing overall Network. Provides methods for initializing, training and inference |
| NeuralNetRunner | Runner of NeuralNet on local machine |
| DistNeuralNetRunner | Runner of NeuralNet in synchronous distributed setting |
| DistAsyncNeuralNetRunner | Runner of NeuralNet in asynchronous distributed setting |
Users should define NeuralNetConf to specify training details (lr, l2_lambda, momentum, gpuAccel etc.)
To add more options, check on src/main/java/org/acl/deepspark/nn/conf/NeuralNetConf
For asynchronous update, simple ParameterServer/Client class are implemented. Check on src/main/java/org/acl/deepspark/nn/async
For actual usage code, see examples on src/test/java/org/acl/deepspark/nn/driver
| Type | Path |
|---|---|
| Single Machine | MnistTest.java / CIFARTest.java |
| Distributed (sync) | SyncMnistTest.java |
| Distributed (async) | AsyncMnistTest.java |
Kim, Hanjoo, Jaehong Park, Jaehee Jang, and Sungroh Yoon. "DeepSpark: Spark-Based Deep Learning Supporting Asynchronous Updates and Caffe Compatibility." arXiv preprint arXiv:1602.08191 (2016).