Bidirectional - 腾讯云开发者社区

文章/答案/技术大牛

发布

Bidirectional RNN (BRNN)

Bidirectional RNN (BRNN) Prerequisite: Gated Recurrent Unit(GRU) Long Short term memory unit(LSTM)...Bidirectional RNN (BRNN) ?

1.4K2 0

BERT-Bidirectional Encoder Representations from Transformers

BERT, or Bidirectional Encoder Representations from Transformers BERT是google最新提出的NLP预训练方法，在大型文本语料库

7352 0

您找到你想要的搜索结果了吗？

是的

没有找到

基于Bidirectional AttentionFlow的机器阅读理解实践

继上次复现了r-net的方案之后，现将之前复现过的Bidirectional AttentionFlow （经典的阅读理解模型）也进行记录一下。

3222 0

如何应用 BERT ：Bidirectional Encoder Representations from Transformers

上一篇文章介绍了 Google 最新的BERT (Bidirectional Encoder Representations from Transformers) ，这个模型在 11 个 NLP 任务上刷新了纪录

1.3K2 0

【论文阅读】BERT:Pre-training of deep bidirectional transformers for language understanding

【论文阅读】BERT: Pre-training of deep bidirectional transformers for language understanding Metadata authors...rating:: ⭐⭐⭐⭐⭐ share:: false comment:: 经典bert的模型 ---- 前言 BERT 是 Google 于 2018 年提出的 NLP 预训练技术，全称是 Bidirectional...参考资料 [1] BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding [2] Deep contextualized

2.5K2 0

【论文笔记】Scalable End-to-End Dialogue State Tracking with Bidirectional Encoder Representations from Tr

BERT-DST: Scalable End-to-End Dialogue State Tracking with Bidirectional Encoder Representations from

1.8K3 0

End to End Sequence Labeling via Bidirectional LSTM-CNNs-CRF论文摘要简介神经网络结构训练总结

论文地址：End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF 摘要传统改机的序列标注系...

1.2K4 0

收藏 | Tensorflow实现的深度NLP模型集锦（附资源）

Bidirectional Seq2Seq-manual 4. Bidirectional Seq2Seq-API Greedy 5....Bidirectional Seq2Seq-manual 4. Bidirectional Seq2Seq-API Greedy 5....Bidirectional RNN + Bahdanau Attention + CRF 2. Bidirectional RNN + Luong Attention + CRF 3....Bidirectional RNN + CRF 4. Char Ngrams + Bidirectional RNN + Bahdanau Attention + CRF 5....Bidirectional RNN + Greedy CTC 3. Bidirectional RNN + Beam CTC 4.

7304 0

使用注意力机制建模 - 标准化日期格式

模型组件 from keras.layers import RepeatVector, LSTM, Concatenate, \ Dense, Activation, Dot, Input, Bidirectional...,),name='s0') c0 = Input(shape=(n_s,),name='c0') s = s0 c = c0 outputs = [] h = Bidirectional...(Bidirectional) (None, 30, 64) 17920 input_first[0][0] _______________...__________________________________ concatenate (Concatenate) (None, 30, 128) 0 bidirectional...attention_weights[0][0] bidirectional

1.1K1 0

tensorflow学习笔记(三十九):双向rnn

我们先来看一下这个接口怎么用. bidirectional_dynamic_rnn( cell_fw, #前向 rnn cell cell_bw, #反向 rnn cell inputs...如何使用: bidirectional_dynamic_rnn 在使用上和 dynamic_rnn是非常相似的....(outputs, states)=tf.nn.bidirectional_dynamic_rnn(cell_fw, cell_bw, seq, seq_length, initial_state_fw...多层双向rnn 多层双向rnn(cs224d) 单层双向rnn可以通过上述方法简单的实现,但是多层的双向rnn就不能使将MultiRNNCell传给bidirectional_dynamic_rnn...想要知道为什么,我们需要看一下bidirectional_dynamic_rnn的源码片段. with vs.variable_scope(scope or "bidirectional_rnn"):

2.4K5 0

tensorflow学习笔记(三十九) : 双向rnn (BiRNN)

单层双向rnn (cs224d) tensorflow中已经提供了双向rnn的接口,它就是tf.nn.bidirectional_dynamic_rnn()....我们先来看一下这个接口怎么用. bidirectional_dynamic_rnn( cell_fw, #前向 rnn cell cell_bw, #反向 rnn cell inputs...如何使用: bidirectional_dynamic_rnn 在使用上和 dynamic_rnn是非常相似的....多层双向rnn(cs224d) 单层双向rnn可以通过上述方法简单的实现,但是多层的双向rnn就不能简单的将MultiRNNCell传给bidirectional_dynamic_rnn了....想要知道为什么,我们需要看一下bidirectional_dynamic_rnn的源码片段. with vs.variable_scope(scope or "bidirectional_rnn"):

1.7K3 0

keras 双向LSTM 简单示例

仅返回各个时刻的状态 import tensorflow.compat.v1 as tf from keras.layers import ConvLSTM2D,TimeDistributed,Conv2D,Bidirectional...Conv2D(filters=10,kernel_size=(3,3),strides=(1,1)),input_shape=(6,256,256,3))(inputs_np) lstm_outs= Bidirectional...注意输出的排序） import tensorflow as tf import numpy as np import keras from keras.layers import ConvLSTM2D,Bidirectional...astype(np.float32) lstm_input = tf.convert_to_tensor(lstm_input) lstm_out1,lstm_out2,h1,c1,h2,c2 = Bidirectional...参考：https://keras.io/zh/layers/wrappers/#bidirectional 发布者：全栈程序员栈长，转载请注明出处：https://javaforall.cn/151619

7942 0

谷歌发表的史上最强NLP模型BERT的官方代码和预训练模型可以下载了

TensorFlow code and pre-trained models for BERT https://arxiv.org/abs/1810.04805 BERT Introduction BERT, or Bidirectional...BERT outperforms previous methods because it is the first unsupervised, deeply bidirectional system for...either be context-free or contextual, and contextual representations can further be unidirectional or bidirectional...context — I made a ... deposit — starting from the very bottom of a deep neural network, so it is deeply bidirectional...approach for this: We mask out 15% of the words in the input, run the entire sequence through a deep bidirectional

3.4K1 1

深度学习——RNN(2)双向RNN深度RNN几种变种

前言：前面介绍了LSTM，下面介绍LSTM的几种变种双向RNN Bidirectional RNN(双向RNN)假设当前t的输出不仅仅和之前的序列有关，并且还与之后的序列有关，例如：预测一个语句中缺失的词语那么需要根据上下文进...行预测；Bidirectional RNN是一个相对简单的RNNs，由两个RNNs上下叠加在一起组成。...动态构建双向的RNN网络 """ bidirectional_dynamic_rnn( cell_fw: 前向的rnn cell , cell_bw：反向的...] output_bw = outputs[1][:, -1, :] output = tf.concat([output_fw, output_bw], 1) 深度RNN Deep Bidirectional...RNN(深度双向RNN)类似Bidirectional RNN，区别在于每个每一步的输入有多层网络，这样的话该网络便具有更加强大的表达能力和学习能力，但是复杂性也提高了，同时需要训练更多的数据。

11.3K3 1

双向 LSTM

0.84762691 0.29165514 累加值超过设定好的阈值时可标记为 1，否则为 0，例如阈值为 2.5，则上述输入的结果为： 0 0 0 1 1 1 1 1 1 1 和单向 LSTM 的区别是用到 Bidirectional...： model.add(Bidirectional(LSTM(20, return_sequences=True), input_shape=(n_timesteps, 1))) from random...LSTM from keras.layers import Dense from keras.layers import TimeDistributed from keras.layers import Bidirectional...return X, y # define problem properties n_timesteps = 10 # define LSTM model = Sequential() model.add(Bidirectional...maxwell.ict.griffith.edu.au/spl/publications/papers/ieeesp97_schuster.pdf http://machinelearningmastery.com/develop-bidirectional-lstm-sequence-classification-python-keras

8783 0

史上最全！深度学习预测股市模型汇总（附代码）

8.2K27 7

gRPC本质的探究与实践

1.3K1 0

双向 LSTM

5.5K6 0

生成对话的主题与个性化——【IJCAI 2018】《Assigning PersonalityProfile to a Chatting Machine》

本文为对话系统提供了配置文件的信息，以便对话系统可以一致地回答个性化问题： Profile Detector 这个模块有两个作用：要不要利用profile信息进行回复，即决定走 Forward Decoder 还是走 Bidirectional...如果post是“how old are you”，即和配置相关,那么P(z=1∣X)≈1：若走Bidirectional Decoder，决定选择哪个profile值来用于生成： Bidirectional

4453 0

C++ STL源码剖析之知其然，知其所以然，源码面前了无秘密！

单向移动只读迭代器 Input Iterator 单向移动只写迭代器 Output Iterator 单向移动读写迭代器 Forward Iterator 双向移动读写迭代器 Bidirectional...例如：我们实现了 advanceII, advanceBI, advanceRAI 分别代表迭代器类型是Input Iterator，Bidirectional Iterator和Random Access...: public forward_iterator_tag {}; struct random_access_iterator_tag : public bidirectional_iterator_tag...a superset of bidirectional /// iterator operations....struct random_access_iterator_tag : public bidirectional_iterator_tag { }; 与我上面用的一样。

1.4K1 0

点击加载更多

Bidirectional RNN (BRNN)

BERT-Bidirectional Encoder Representations from Transformers

基于Bidirectional AttentionFlow的机器阅读理解实践

如何应用 BERT ：Bidirectional Encoder Representations from Transformers

【论文阅读】BERT:Pre-training of deep bidirectional transformers for language understanding

【论文笔记】Scalable End-to-End Dialogue State Tracking with Bidirectional Encoder Representations from Tr

End to End Sequence Labeling via Bidirectional LSTM-CNNs-CRF论文摘要简介神经网络结构训练总结

收藏 | Tensorflow实现的深度NLP模型集锦（附资源）

使用注意力机制建模 - 标准化日期格式

tensorflow学习笔记(三十九):双向rnn

tensorflow学习笔记(三十九) : 双向rnn (BiRNN)

keras 双向LSTM 简单示例

谷歌发表的史上最强NLP模型BERT的官方代码和预训练模型可以下载了

深度学习——RNN(2)双向RNN深度RNN几种变种

双向 LSTM

史上最全！深度学习预测股市模型汇总（附代码）

gRPC本质的探究与实践

双向 LSTM

生成对话的主题与个性化——【IJCAI 2018】《Assigning PersonalityProfile to a Chatting Machine》

C++ STL源码剖析之知其然，知其所以然，源码面前了无秘密！

相关资讯

热门标签

活动推荐

运营活动

社区

活动

圈层

关于

腾讯云开发者

热门产品

热门推荐

更多推荐