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Examples of scripts

Gustavo Rosa edited this page Jul 13, 2016 · 10 revisions

The LibDEEP package contains a directory LibDEEP/examples, in which you can find some useful examples to work with our deep learning techniques.


RBM.c Usage

Usage: RBM <P1> <P2> <P3> <P4> <P5> <P6> <P7> <P8> <P9>

P1: training dataset in the OPF file format
P2: testing dataset in the OPF file format
P3: output results file name
P4: cross-validation iteration number
P5: input parameters file name
P6: number of epochs
P7: batch size
P8: number of iterations for Contrastive Divergence
P9: training method (1 - CD | 2 - PCD | 3 - FPCD)

DropoutRBM.c Usage

Usage: DropoutRBM <P1> <P2> <P3> <P4> <P5> <P6> <P7> <P8> <P9>

P1: training dataset in the OPF file format
P2: testing dataset in the OPF file format
P3: output results file name
P4: cross-validation iteration number
P5: input parameters file name
P6: number of epochs
P7: batch size
P8: number of iterations for Contrastive Divergence
P9: training method (1 - CD | 2 - PCD | 3 - FPCD)

DropconnectRBM.c Usage

Usage: DropconnectRBM <P1> <P2> <P3> <P4> <P5> <P6> <P7> <P8> <P9>

P1: training dataset in the OPF file format
P2: testing dataset in the OPF file format
P3: output results file name
P4: cross-validation iteration number
P5: input parameters file name
P6: number of epochs
P7: batch size
P8: number of iterations for Contrastive Divergence
P9: training method (1 - CD | 2 - PCD | 3 - FPCD)

DRBM.c Usage

Usage: DRBM <P1> <P2> <P3> <P4> <P5> <P6> <P7> <P8>

P1: training dataset in the OPF file format
P2: testing dataset in the OPF file format
P3: output results file name
P4: cross-validation iteration number
P5: input parameters file name
P6: number of epochs
P7: batch size
P8: number of iterations for Contrastive Divergence

GaussianDRBM.c Usage

Usage: GaussianDRBM <P1> <P2> <P3> <P4> <P5> <P6> <P7> <P8>

P1: training dataset in the OPF file format
P2: testing dataset in the OPF file format
P3: output results file name
P4: cross-validation iteration number
P5: input parameters file name
P6: number of epochs
P7: batch size
P8: number of iterations for Contrastive Divergence

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