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Index
A
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B
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C
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D
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E
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F
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G
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H
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I
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L
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M
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N
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P
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R
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S
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T
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W
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Y
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Z
A
activationFunc (deephyp.autoencoder.cnn_1D_network attribute)
,
[1]
(deephyp.autoencoder.mlp_1D_network attribute)
,
[1]
(deephyp.classifier.cnn_1D_network attribute)
,
[1]
activationFuncFinal (deephyp.autoencoder.cnn_1D_network attribute)
,
[1]
(deephyp.autoencoder.mlp_1D_network attribute)
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[1]
add_model() (deephyp.autoencoder.cnn_1D_network method)
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[1]
(deephyp.autoencoder.mlp_1D_network method)
,
[1]
(deephyp.classifier.cnn_1D_network method)
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[1]
add_train_op() (deephyp.autoencoder.cnn_1D_network method)
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[1]
(deephyp.autoencoder.mlp_1D_network method)
,
[1]
(deephyp.classifier.cnn_1D_network method)
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[1]
B
balance_classes() (in module deephyp.network_ops)
bands (deephyp.data.HypImg attribute)
,
[1]
batchSize (deephyp.data.Iterator attribute)
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[1]
C
cnn_1D_network (class in deephyp.autoencoder)
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[1]
(class in deephyp.classifier)
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[1]
conv_output_shape() (in module deephyp.network_ops)
convFilterSize (deephyp.classifier.cnn_1D_network attribute)
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[1]
convNumFilters (deephyp.classifier.cnn_1D_network attribute)
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[1]
convStride (deephyp.classifier.cnn_1D_network attribute)
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[1]
create_variable() (in module deephyp.network_ops)
currentBatch (deephyp.data.Iterator attribute)
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[1]
D
dataSamples (deephyp.data.Iterator attribute)
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[1]
decoder() (deephyp.autoencoder.cnn_1D_network method)
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[1]
(deephyp.autoencoder.mlp_1D_network method)
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[1]
decoderFilterSize (deephyp.autoencoder.cnn_1D_network attribute)
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[1]
decoderNumFilters (deephyp.autoencoder.cnn_1D_network attribute)
,
[1]
decoderSize (deephyp.autoencoder.mlp_1D_network attribute)
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[1]
decoderStride (deephyp.autoencoder.cnn_1D_network attribute)
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[1]
deephyp (module)
deephyp.autoencoder (module)
deephyp.classifier (module)
deephyp.data (module)
deephyp.network_ops (module)
E
encoder() (deephyp.autoencoder.cnn_1D_network method)
,
[1]
(deephyp.autoencoder.mlp_1D_network method)
,
[1]
encoder_decoder() (deephyp.autoencoder.cnn_1D_network method)
,
[1]
(deephyp.autoencoder.mlp_1D_network method)
,
[1]
encoderFilterSize (deephyp.autoencoder.cnn_1D_network attribute)
,
[1]
encoderNumFilters (deephyp.autoencoder.cnn_1D_network attribute)
,
[1]
encoderSize (deephyp.autoencoder.mlp_1D_network attribute)
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[1]
encoderStride (deephyp.autoencoder.cnn_1D_network attribute)
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[1]
F
fcSize (deephyp.classifier.cnn_1D_network attribute)
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[1]
G
get_batch() (deephyp.data.Iterator method)
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[1]
H
HypImg (class in deephyp.data)
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[1]
I
init_weight() (in module deephyp.network_ops)
inputSize (deephyp.autoencoder.cnn_1D_network attribute)
,
[1]
(deephyp.autoencoder.mlp_1D_network attribute)
,
[1]
(deephyp.classifier.cnn_1D_network attribute)
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[1]
Iterator (class in deephyp.data)
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[1]
L
labels (deephyp.data.HypImg attribute)
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[1]
labelsOnehot (deephyp.data.HypImg attribute)
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[1]
layer_activation() (in module deephyp.network_ops)
layer_conv1d() (in module deephyp.network_ops)
layer_deconv1d() (in module deephyp.network_ops)
layer_fullyConn() (in module deephyp.network_ops)
load_config() (in module deephyp.network_ops)
load_model() (in module deephyp.network_ops)
loss_function_crossentropy_1D() (in module deephyp.network_ops)
loss_function_reconstruction_1D() (in module deephyp.network_ops)
loss_weight_decay() (in module deephyp.network_ops)
M
mlp_1D_network (class in deephyp.autoencoder)
,
[1]
modelsAddrs (deephyp.autoencoder.cnn_1D_network attribute)
,
[1]
(deephyp.autoencoder.mlp_1D_network attribute)
,
[1]
(deephyp.classifier.cnn_1D_network attribute)
,
[1]
N
next_batch() (deephyp.data.Iterator method)
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[1]
numCols (deephyp.data.HypImg attribute)
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[1]
numLayers (deephyp.classifier.cnn_1D_network attribute)
,
[1]
numRows (deephyp.data.HypImg attribute)
,
[1]
numSamples (deephyp.data.HypImg attribute)
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[1]
(deephyp.data.Iterator attribute)
,
[1]
P
padding (deephyp.autoencoder.cnn_1D_network attribute)
,
[1]
pre_process() (deephyp.data.HypImg method)
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[1]
predict_features() (deephyp.classifier.cnn_1D_network method)
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[1]
predict_labels() (deephyp.classifier.cnn_1D_network method)
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[1]
predict_scores() (deephyp.classifier.cnn_1D_network method)
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[1]
R
reset_batch() (deephyp.data.Iterator method)
,
[1]
S
save_config() (in module deephyp.network_ops)
save_model() (in module deephyp.network_ops)
shuffle() (deephyp.data.Iterator method)
,
[1]
skipConnect (deephyp.autoencoder.cnn_1D_network attribute)
,
[1]
(deephyp.autoencoder.mlp_1D_network attribute)
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[1]
spectra (deephyp.data.HypImg attribute)
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[1]
spectraCube (deephyp.data.HypImg attribute)
,
[1]
spectraPrep (deephyp.data.HypImg attribute)
,
[1]
T
targets (deephyp.data.Iterator attribute)
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[1]
tiedWeights (deephyp.autoencoder.cnn_1D_network attribute)
,
[1]
(deephyp.autoencoder.mlp_1D_network attribute)
,
[1]
train() (deephyp.autoencoder.cnn_1D_network method)
,
[1]
(deephyp.autoencoder.mlp_1D_network method)
,
[1]
(deephyp.classifier.cnn_1D_network method)
,
[1]
(in module deephyp.network_ops)
train_ops (deephyp.autoencoder.cnn_1D_network attribute)
,
[1]
(deephyp.autoencoder.mlp_1D_network attribute)
,
[1]
(deephyp.classifier.cnn_1D_network attribute)
,
[1]
train_step() (in module deephyp.network_ops)
W
wavelengths (deephyp.data.HypImg attribute)
,
[1]
weightInitOpt (deephyp.autoencoder.cnn_1D_network attribute)
,
[1]
(deephyp.autoencoder.mlp_1D_network attribute)
,
[1]
(deephyp.classifier.cnn_1D_network attribute)
,
[1]
weightStd (deephyp.autoencoder.cnn_1D_network attribute)
,
[1]
(deephyp.autoencoder.mlp_1D_network attribute)
,
[1]
(deephyp.classifier.cnn_1D_network attribute)
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[1]
Y
y_pred (deephyp.classifier.cnn_1D_network attribute)
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[1]
y_recon (deephyp.autoencoder.cnn_1D_network attribute)
,
[1]
(deephyp.autoencoder.mlp_1D_network attribute)
,
[1]
Z
z (deephyp.autoencoder.cnn_1D_network attribute)
,
[1]
(deephyp.autoencoder.mlp_1D_network attribute)
,
[1]
zDim (deephyp.autoencoder.cnn_1D_network attribute)
,
[1]
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