关键词:递归神经网络,lexicon-free,soft-attention,untied 引言 使用递归CNNs,采用RNN隐式学习字符级语言模型,避免了使用N-grams,使用软注意力机制来利用图像特征 首先这篇文章搞清楚了RNN包含了Recursive neural network(递归神经网络) 和 Recurrent neural network(循环神经网络) 下面简单介绍一下两个模型的区别 循环...
www.nature.com/scientificreports OPEN A convolutional recurrent neural network with attention for response prediction to repetitive transcranial magnetic stimulation in major depressive disorder Mohsen Sadat Shahabi 1, Ahmad Shalbaf 1*, Reza Rostami 2 & Reza Kazemi 3 ...
即,输入一张图片,从而能让机器对这张图片进行语言的描述,例如 当然还可以做Image Captioning with Attention,即在机器对图片描述的时候,看每个单词在图片上的关注点在哪,例如 具体流程可以如下:
In this paper, based on the recurrent neural network equipped with the attention mechanism, we propose a data-driven technique. We set up a general framework that consists of a hierarchical sentence encoder and an attentionbased sentence extractor. The framework allows us to establish various ...
Automatic Speech Emotion Recognition Using Recurrent Neural Networks with Local AttentionAutomatic emotion recognition from speech is a challenging task which significantly relies on the emotional relevance of specific features extracted from the speech signal. In this study, our goal is ...
We present a deep convolutional recurrent neural network for speech emotion recognition based on the log-Mel filterbank energies, where the convolutional layers are responsible for the discriminative feature learning. Based on the hypothesis that a better understanding of the internal configuration within...
We present recursive recurrent neural networks with attention modeling (R2AM) for lexicon-free optical character recognition in natural scene images. The primary advantages of the proposed method are: (1) use of recursive convolutional neural networks (CNNs), which allow for parametrically efficient ...
在对比对其输入的基于attention的encoder-decoder模型,基于attention的RNN更有效率。encoder-decoder使用两次输入,而RNN只有一次。 4 实验 4.1 数据 使用了ATIS数据 4.2 训练步骤 LSTM单元为128 单层LSTM batch_size = 16 word embedding = 128 dropout = 0.5 ...
Semantic Relation Classification via Hierarchical Recurrent Neural Network with Attention 来自 掌桥科研 喜欢 0 阅读量: 385 作者:M Xiao,L Cong 摘要: Semantic relation classification remains a challenge in natural language processing. In this pa- per, we introduce a hierarchical recurrent neural network...
Moreover, from the attention mechanism perspective convolutional neural network (CNN) is applied less than recurrent neural network (RNN). Because RNN can learn long-term dependencies and gives better results than CNN. But CNN has its own advantage, can extract high-level features invariant to ...