/
githubmirror
/
incubator-mxnet
Обзор
Документация
Войти
/
githubmirror
/
incubator-mxnet
Код
Запросы
0
Пакеты
0
Релизы
0
Аналитика
Безопасность
master
docs/python_docs/python/api/gluon/rnn/index.rst
79 строк
2 KB
Sheng Zha
[DOC] Fix warnings in tutorials and turn on -W (#19624)
08 дек 2020, 19:13
Не верифицирован
08 дек 2020, 19:13
6cbd3ae
Код
Авторство
О чём код?
.. Licensed to the Apache Software Foundation (ASF) under one or more contributor license agreements. See the NOTICE file distributed with this work for additional information regarding copyright ownership. The ASF licenses this file to you under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. gluon.rnn ========= Build-in recurrent neural network layers are provided in the following two modules: .. autosummary:: :nosignatures: mxnet.gluon.rnn .. currentmodule:: mxnet.gluon Recurrent Cells --------------- .. autosummary:: :nosignatures: rnn.LSTMCell rnn.GRUCell rnn.RecurrentCell rnn.LSTMPCell rnn.SequentialRNNCell rnn.BidirectionalCell rnn.DropoutCell rnn.VariationalDropoutCell rnn.ZoneoutCell rnn.ResidualCell Convolutional Recurrent Cells ----------------------------- .. autosummary:: :nosignatures: rnn.Conv1DLSTMCell rnn.Conv2DLSTMCell rnn.Conv3DLSTMCell rnn.Conv1DGRUCell rnn.Conv2DGRUCell rnn.Conv3DGRUCell rnn.Conv1DRNNCell rnn.Conv2DRNNCell rnn.Conv3DRNNCell Recurrent Layers ---------------- .. autosummary:: :nosignatures: rnn.RNN rnn.LSTM rnn.GRU API Reference ------------- .. automodule:: mxnet.gluon.rnn :members: :imported-members: :autosummary: