(branch-config parsed-config)
(build-schedule schedule-type opts)
(classification-csv-iterator filename
batch-size
label-index
num-possible-labels)
(classification-dir-labeled-image-iterator directory
height
width
channels
batch-size
num-possible-labels
rnd)
(evaluate net dataset-iterator)
(evaluate-regression net dataset-iterator)
(get-layers-index ks)
(get-option arg)
(guassian-distribution min max)
(init-config-parse edn-config)
(initialize-net net-config)
(initialize-net net-config listeners)
(input-type-convolutional arg1 arg2 arg3)
(input-type-convolutional-flat arg1 arg2 arg3)
(load-model filename)
(network edn-config)
(normal-distribution min max)
(normal-layer i layer-builder config)
(output net data)
(output net data train?)
(parse-arg arg)
(parse-body body)
(parse-element el)
(parse-layer i layer)
(prepare-layer-config layer-config)
(regression-csv-iterator filename batch-size label-index)
(save-model net filename)
(save-model net filename ready-for-more)
(sequence-classification-csv-iterator filename
batch-size
label-index
num-possible-labels)
Use for Recurrent Neural Nets
Use for Recurrent Neural Nets
(sequence-regression-csv-iterator filename batch-size label-index)
Use for Recurrent Neural Nets
Use for Recurrent Neural Nets
(special-layer i layer-builder config)
(str-invoke instance method-str & args)
(train-net! net epochs dataset-iterator)
(translate-to-java key)
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