NetUtils

abstract def newGraph(outputs: Seq[String]): D

Specify a seq of nodes as output and return a new graph using the existing nodes

abstract def newGraph(output: String): D

Specify a node as output and return a new graph using the existing nodes

abstract def node(name: String): ModuleNode[T]

Return the node in the graph as specified by the name

abstract def toKeras(): KerasLayer[Activity, Activity, T]

final def !=(arg0: AnyRef): Boolean

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: AnyRef): Boolean

final def ==(arg0: Any): Boolean

final def asInstanceOf[T0]: T0

def clone(): AnyRef

final def eq(arg0: AnyRef): Boolean

def equals(arg0: Any): Boolean

def finalize(): Unit

def freezeUpTo(names: String*): NetUtils.this.type

Freeze the model from the bottom up to the layers specified by names (inclusive).

final def getClass(): Class[_]

def hashCode(): Int

final def isInstanceOf[T0]: Boolean

final def ne(arg0: AnyRef): Boolean

def nodes(names: Seq[String]): Seq[ModuleNode[T]]

Return the nodes in the graph as specified by the names

final def notify(): Unit

final def notifyAll(): Unit

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

def toString(): String

final def wait(): Unit

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

final def wait(arg0: Long): Unit