vectorflow ~master (2020-05-21T03:08:59Z)

NeuralNet.learn

vectorflow neuralnet NeuralNet

Train neural network on a dataset, using a predefined loss.

  1. void learn(D data, S delegate(R net_out, ref T ex, ref V[] grad) grad_f, O opt, bool verbose, uint num_cores)
  2. void learn(D data, string loss, O opt, bool verbose, uint num_cores, bool monitor_loss)
    class NeuralNet
    void
    learn
    (
    D
    O : Optimizer
    )
    (
    D data
    ,
    string loss
    ,
    O opt
    ,
    bool verbose = false
    ,
    uint num_cores = 1
    ,
    bool monitor_loss = true
    )
    if (
    isForwardRange!D
    )
  3. void learn(D data, float delegate(R net_out, ref T ex, ref V[] grad) grad_f, bool verbose, uint num_cores)
  4. void learn(D data, string loss, bool verbose, uint num_cores)

Parameters

data D

forward range of rows

loss string

one of the predefined loss functions

opt O

optimizer to use on all learnable layers for training

verbose bool

whether or not to show progress during training

num_cores uint

degree of Hogwild parallelism

monitor_loss bool

whether or not loss value should be tracked during training for monitoring (slightly slower)

Meta

Source

See Implementation

vectorflow neuralnet NeuralNet constructorsfunctionsmixinspropertiesstatic functionsvariables

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