DNN

Basic DNN class. Learns a supervised map from input blocks to output (target) data blocks. There are currently 4 layer types:

InputLayer: just a placeholder for the first layer which is loaded with input data blocks. No learnable params.
FCLayer: Fully-Connected Linear layer. Has a matrix of learnable params which is the input-output map.
RectLayer: Rectifying one-to-one layer. No params.
GLMLayer: a one-to-one layer with GLM mappings (linear, logistic, abs-logistic and SVM). No learnable params.

The network topology is specified by opts.layers which is a sequence of "LayerSpec" objects. There is a LayerSpec Class for each Layer class, which holds the params for defining that layer. Currently only two LayerSpec types need params:

FC: holds the output dimensions of the FClayer (input dimension set by previous layer).
GLM: holds the links matrix (integer specs for loss types, see GLM), for the output of that layer. Its size should match the number of targets.

Linear Supertypes

Model, AnyRef, Any

Instance Constructors

new DNN(opts: Opts = new DNN.Options)

Type Members

class FCLayer extends Layer
class GLMLayer extends Layer
class InputLayer extends Layer
class Layer extends AnyRef
class RectLayer extends Layer

Value Members

final def !=(arg0: Any): Boolean

Definition Classes
AnyRef → Any
final def ##(): Int

Definition Classes
AnyRef → Any
final def ==(arg0: Any): Boolean

Definition Classes
AnyRef → Any
var _modelmats: Array[Mat]

Definition Classes
Model
final def asInstanceOf[T0]: T0

Definition Classes
Any
def bind(ds: DataSource): Unit

Definition Classes
Model
def clone(): AnyRef

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( ... )
def copyMats(from: Array[Mat], to: Array[Mat]): Unit

Definition Classes
Model
def copyTo(mod: Model): Unit

Definition Classes
Model
var datasource: DataSource

Definition Classes
Model
def doblock(gmats: Array[Mat], ipass: Int, i: Long): Unit

Definition Classes
DNN → Model
def doblockg(amats: Array[Mat], ipass: Int, here: Long): Unit

Definition Classes
Model
final def eq(arg0: AnyRef): Boolean

Definition Classes
AnyRef
def equals(arg0: Any): Boolean

Definition Classes
AnyRef → Any
def evalblock(mats: Array[Mat], ipass: Int, here: Long): FMat

Definition Classes
DNN → Model
def evalblockg(amats: Array[Mat], ipass: Int, here: Long): FMat

Definition Classes
Model
def finalize(): Unit

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( classOf[java.lang.Throwable] )
final def getClass(): Class[_]

Definition Classes
AnyRef → Any
var gmats: Array[Mat]

Definition Classes
Model
def hashCode(): Int

Definition Classes
AnyRef → Any
def init(): Unit

Definition Classes
DNN → Model
final def isInstanceOf[T0]: Boolean

Definition Classes
Any
var layers: Array[Layer]
var mats: Array[Mat]

Definition Classes
Model
def modelmats: Array[Mat]

Definition Classes
Model
final def ne(arg0: AnyRef): Boolean

Definition Classes
AnyRef
final def notify(): Unit

Definition Classes
AnyRef
final def notifyAll(): Unit

Definition Classes
AnyRef
val opts: Opts

Definition Classes
DNN → Model
var parent_model: Model

Definition Classes
Model
var putBack: Int

Definition Classes
Model
var refresh: Boolean

Definition Classes
Model
def setmodelmats(a: Array[Mat]): Unit

Definition Classes
Model
final def synchronized[T0](arg0: ⇒ T0): T0

Definition Classes
AnyRef
def toString(): String

Definition Classes
AnyRef → Any
def updatePass(ipass: Int): Unit

Definition Classes
Model
var updatemats: Array[Mat]

Definition Classes
Model
var useDouble: Boolean

Definition Classes
Model
var useGPU: Boolean

Definition Classes
Model
final def wait(): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )
final def wait(arg0: Long, arg1: Int): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )
final def wait(arg0: Long): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )

class DNN extends Model

Instance Constructors

new DNN(opts: Opts = new DNN.Options)

Type Members

class FCLayer extends Layer

class GLMLayer extends Layer

class InputLayer extends Layer

class Layer extends AnyRef

class RectLayer extends Layer

Value Members

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: Any): Boolean

var _modelmats: Array[Mat]

final def asInstanceOf[T0]: T0

def bind(ds: DataSource): Unit

def clone(): AnyRef

def copyMats(from: Array[Mat], to: Array[Mat]): Unit

def copyTo(mod: Model): Unit

var datasource: DataSource

def doblock(gmats: Array[Mat], ipass: Int, i: Long): Unit

def doblockg(amats: Array[Mat], ipass: Int, here: Long): Unit

final def eq(arg0: AnyRef): Boolean

def equals(arg0: Any): Boolean

def evalblock(mats: Array[Mat], ipass: Int, here: Long): FMat

def evalblockg(amats: Array[Mat], ipass: Int, here: Long): FMat

def finalize(): Unit

final def getClass(): Class[_]

var gmats: Array[Mat]

def hashCode(): Int

def init(): Unit

final def isInstanceOf[T0]: Boolean

var layers: Array[Layer]

var mats: Array[Mat]

def modelmats: Array[Mat]

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

val opts: Opts

var parent_model: Model

var putBack: Int

var refresh: Boolean

def setmodelmats(a: Array[Mat]): Unit

final def synchronized[T0](arg0: ⇒ T0): T0

def toString(): String

def updatePass(ipass: Int): Unit

var updatemats: Array[Mat]

var useDouble: Boolean

var useGPU: Boolean

final def wait(): Unit

final def wait(arg0: Long, arg1: Int): Unit

final def wait(arg0: Long): Unit

Inherited from Model

Inherited from AnyRef

Inherited from Any

Ungrouped