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Improvement of Bidirectional Recurrent Neural Network for Learning Long-Term Dependencies
2019-04-01 上传大小:316KB
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Recurrent Convolutional Neural Networks for Text Classification

找到了国外的一篇文章《Recurrent Convolutional Neural Network For Text Classification》

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Look-Closer-to-See-Better-Recurrent-Attention-Convolutional-Neural-Network-for-Fine-grained-Image-Recognition

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Recurrent Neural Network for Text Classification

Neuralnetworkbasedmethodshaveobtainedgreat progress on a variety of natural language processing tasks. However, in most previous works, the models are learned based on single-task supervised objectives, which often suffer from insufficient training data. In this paper, we use the multitasklearningfra

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gated recurrent convolution neural network for ocr

Gated Recurrent Convolution Neural Network for OCR.这是一篇CNN解决OCR问题的论文,好像是发表在NIPS上的吧,忘了

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A Convolutional Neural Network Cascade for Face Detection

A Convolutional Neural Network Cascade for Face Detection

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机器学习 -- Recurrent Neural Network (RNN)

Recurrent Neural Network (RNN) Example Application 1-of-N encoding Beyond 1-of-N encoding Recurrent Neural Network (RNN) Elman Network & Jordan Network Bidirectional RNN Long Short-term Memory (LSTM)

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Attention-Based Recurrent Neural Network Models for Joint Intent Detection

Attention-Based Recurrent Neural Network Models for Joint Intent Detection

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Speech recognition with deep recurrent neural networks论文翻译

循环神经网络在语音识别中的应用 LSTM 双向RNN 双向lstm

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cs231n_2017_lecture10.pdf

递归神经网络 recurrent neural network recurrent neural network

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Visualizing and Understanding Convolutional Networks论文原文加翻译

Visualizing and Understanding Convolutional Networks论文原文加翻译

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Visualizing and Understanding Convolutional Networks 译文(“看懂”卷积神经网络)

Visualizing and Understanding Convolutional Networks 译文(“看懂”卷积神经网络)

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Supervised Sequence Labelling with Recurrent Neural Networks

a good source for learning recurrent neural network

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Relation Classification via Convolutional Deep Neural Network

The state-of-the-art methods used for relation classification are primarily based on statistical machine learning, and their performance strongly depends on the quality of the extracted features. The extracted features are often derived from the output of pre-existing natural language processing (NL

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RECURRENT NEURAL NETWORKS FOR PREDICTION

新技术在工程,物理和生物医学的要求日益复杂的数字信号处理的方法。通过展示最新的研究工作中,作者展示了如何真正的 - 递归神经的网络(RNNs)可以实现扩大范围的传统的信号处理技术,并帮助解决这个问题的预测。在这个文本中,被认为是神经网络的大型互联非线性自适应滤波器。

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双目立体视觉汇报1.pptx

CVPR2018年关于双目立体视觉的神经网络的介绍 MC-CNN:Stereo Matching by Training a Convolutional Neural Network to Compare Image Patches(2015) LRCR:Left-Right Comparative Recurrent Model for Stereo Matching(2018) CBMV: A Coalesced Bidirectional Matching Volume for Disparity Estimation (2018)

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R-CNN matlab 代码: Regions with Convolutional Neural Network Features

R-CNN, matlab 代码: Regions with Convolutional Neural Network Features,卷积神经网络,此代码容易看懂,实现,适合学习 改进!

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IndRNN.pdf

论文中加了很多中文批注,对于英文不是很好的同学也许有一点帮助

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DRAW. A Recurrent Neural Network For Image Generation

25. DRAW. A Recurrent Neural Network For Image Generation。。。。。

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Multi-focus image fusion with a deep convolutional neural network的源码

Multi-focus image fusion with a deep convolutional neural network的源码

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Fast Region-based Convolutional Network method (Fast R-CNN)

学校下载的 Fast Region-based Convolutional Network method (Fast R-CNN)论文,赚点C币下载其他东西. #printf("thank you for downloading")

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Improvement of Bidirectional Recurrent Neural Network

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