Object/Class

io.github.mandar2812.dynaml.graph

FFNeuralGraph

Related Docs: class FFNeuralGraph | package graph

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object FFNeuralGraph

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  4. def apply(num_inputs: Int, num_outputs: Int, hidden_layers: Int = 1, activations: List[String], nCounts: List[Int] = List(), biasFlag: Boolean = true): FFNeuralGraph

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    Create a FFNeuralGraph object with FramedGraph as the base graph.

    Create a FFNeuralGraph object with FramedGraph as the base graph.

    num_inputs

    Number of input dimensions

    num_outputs

    Number of input dimensions

    hidden_layers

    Number of hidden layers

    activations

    The activation functions for each layer

    nCounts

    The number of neurons in each hidden layer

    biasFlag

    Indicates if bias unit is to be created.

  5. final def asInstanceOf[T0]: T0

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  12. final def isInstanceOf[T0]: Boolean

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  13. val manager: FramedGraphFactory

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