fastai: QRNN – R documentation

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QRNN

Description

Apply a multiple layer Quasi-Recurrent Neural Network (QRNN) to an input sequence.

Usage

QRNN(
  input_size,
  hidden_size,
  n_layers = 1,
  batch_first = TRUE,
  dropout = 0,
  bidirectional = FALSE,
  save_prev_x = FALSE,
  zoneout = 0,
  window = NULL,
  output_gate = TRUE
)

Arguments

`input_size`	input_size
`hidden_size`	hidden_size
`n_layers`	n_layers
`batch_first`	batch_first
`dropout`	dropout
`bidirectional`	bidirectional
`save_prev_x`	save_prev_x
`zoneout`	zoneout
`window`	window
`output_gate`	output_gate

Value

None

fastai

Interface to 'fastai'

v2.0.7

Apache License 2.0

Authors

Turgut Abdullayev [ctb, cre, cph, aut]

Initial release