Development Schedule
====================

.. csv-table::
	:header: "Release", "Module", "Feature", "Status"

	" 0.1 Sep 2015     "," Neural Network          "," Feed forward neural network, including CNN, MLP                                                                 "," done  "
	"                  ","                         "," RBM-like model, including RBM                                                                                   "," done   "
	"                  ","                         "," Recurrent neural network, including standard RNN                                                                "," done   "
	"                  ","  Architecture           "," One worker group on single node (with data partition)                                                           "," done   "
	"                  ","                         "," Multi worker groups on single node using [Hogwild](http://www.eecs.berkeley.edu/~brecht/papers/hogwildTR.pdf)      ","done"
	"                  ","                         "," Distributed Hogwild","done"
	"                  ","                         "," Multi groups across nodes, like [Downpour](http://papers.nips.cc/paper/4687-large-scale-distributed-deep-networks) ","done"
	"                  ","                         "," All-Reduce training architecture like [DeepImage](http://arxiv.org/abs/1501.02876) ","done"
	"                  ","                         "," Load-balance among servers "," done"
	"                  ","  Failure recovery       "," Checkpoint and restore ","done"
	"                  ","  Tools                  "," Installation with GNU auto tools"," done"
	"0.2 Jan 2016      "," Neural Network          "," Feed forward neural network, including AlexNet, cuDNN layers, etc."," done "
	"                  ","                         "," Recurrent neural network, including GRULayer and BPTT","done "
	"                  ","                         "," Model partition and hybrid partition","done"
	"      		   "," Tools                   "," Integration with Mesos for resource management","done"
	"         	   ","                         "," Prepare Docker images for deployment","done"
	"              	   ","                         "," Visualization of neural net and debug information ","done"
	"                  "," Binding                 "," Python binding for major components ","done"
	"                  "," GPU                     "," Single node with multiple GPUs ","done"
	"0.3 April 2016    "," GPU                     "," Multiple nodes, each with multiple GPUs","done"
	"                  ","                         "," Heterogeneous training using both GPU and CPU [CcT](http://arxiv.org/abs/1504.04343)","done"
	"                  ","                         "," Support cuDNN v4 "," done"
	"                  "," Installation            "," Remove dependency on ZeroMQ, CZMQ, Zookeeper for single node training","done"
	"                  "," Updater                 "," Add new SGD updaters including Adam, AdamMax and AdaDelta","done"
	"                  "," Binding                 "," Enhance Python binding for training","done"
	"1.0 Aug 2016     "," Programming abstraction ","Tensor with linear algebra, neural net and random operations "," "
	"                  ","                         ","Updater for distributed parameter updating ",""
	"                  "," Optimization            "," Execution and memory optimization",""
	"                  "," Hardware                "," Use Cuda and Cudnn for Nvidia GPU",""
	"                  ","                         "," Use OpenCL for AMD GPU or other devices",""
	"                  "," Cross-platform          "," To extend from Linux to MacOS and Windows",""
	"                  "," Examples                "," Speech recognition example",""
	"                  ","                         ","Large image models, e.g., [VGG](https://arxiv.org/pdf/1409.1556.pdf) and [Residual Net](http://arxiv.org/abs/1512.03385)",""