Examples of initBasedOn()

Examples of tv.floe.metronome.deeplearning.dbn.DeepBeliefNetwork.initBasedOn()

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    int[] hiddenLayerSizesTmp = new int[] {1};
   
    // now setup a DBN based on a clone operation via initBasedOn()
    DeepBeliefNetwork dbn_merge_load = new DeepBeliefNetwork(1, hiddenLayerSizesTmp, 1, hiddenLayerSizesTmp.length, null); //1, , 1, hiddenLayerSizes.length, rng );
    // this will clear the weights
    dbn_merge_load.initBasedOn(dbn_deserialize);
   
    DeepBeliefNetwork dbn_merge_load_2 = new DeepBeliefNetwork(1, hiddenLayerSizesTmp, 1, hiddenLayerSizesTmp.length, null); //1, , 1, hiddenLayerSizes.length, rng );
    // this will clear the weights
    dbn_merge_load_2.initBasedOn( dbn );
   
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Examples of tv.floe.metronome.deeplearning.dbn.DeepBeliefNetwork.initBasedOn()

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    // this will clear the weights
    dbn_merge_load.initBasedOn(dbn_deserialize);
   
    DeepBeliefNetwork dbn_merge_load_2 = new DeepBeliefNetwork(1, hiddenLayerSizesTmp, 1, hiddenLayerSizesTmp.length, null); //1, , 1, hiddenLayerSizes.length, rng );
    // this will clear the weights
    dbn_merge_load_2.initBasedOn( dbn );
   
    //assertEquals( dbn.inputNeuronCount, dbn_deserialize.inputNeuronCount );
    //assertEquals( dbn.l2, dbn_deserialize.l2, 0.0 );

    // check logistic layer
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Examples of tv.floe.metronome.deeplearning.dbn.DeepBeliefNetwork.initBasedOn()

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    // now setup a DBN based on a clone operation via initBasedOn()
//    DeepBeliefNetwork dbn_merge_load = new DeepBeliefNetwork(1, hiddenLayerSizesTmp, 1, hiddenLayerSizesTmp.length, null);
   
    // this only works if the workers have been initialized on data
    DeepBeliefNetwork dbn_master = new DeepBeliefNetwork(1, hiddenLayerSizesTmp, 1, hiddenLayerSizesTmp.length, null);
    dbn_master.initBasedOn(dbn_A);
   
   
    ArrayList<DeepBeliefNetwork> workers = new ArrayList<DeepBeliefNetwork>();
    workers.add(dbn_A);
    workers.add(dbn_B);
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