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recurrent neural network without a phd.pdf 出处:https://github.com/martin-gorner/tensorflow-rnn-shakespeare
2018-04-16 上传大小:5.29MB
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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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Recurrent Convolutional Neural Networks for Text Classification

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A Convolutional Neural Network Cascade for Face Detection

A Convolutional Neural Network Cascade for Face Detection

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Recurrent-Attention-Convolutional-Neural-Network

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gated recurrent convolution neural network for ocr

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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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Supervised Sequence Labelling with Recurrent Neural Networks

a good source for learning recurrent neural network

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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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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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Joint Entity and Relation Extraction Based on a hybrid neural network

实体关系抽取经典论文 Joint Entity and Relation Extraction Based on a hybrid neural network

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Improvement of Bidirectional Recurrent Neural Network

Improvement of Bidirectional Recurrent Neural Network for Learning Long-Term Dependencies

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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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deeplearning without a PHD

2017谷歌云大会,深度学习代码示例

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Building a Recurrent Neural Network - Step by Step

Andrew Ng在Coursera上的RNN练习,第一周第一节内容,完整未作过的练习. 注意:不包含答案的.

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graph neural network review(图神经网络回顾)

图(graph)是一个非 常常用的数据结构,现实世界中很多很多任务可以描述为图问题,比如社交网络,蛋白体结构,交通路网数据,以及很火的知识图谱等,甚至规则网格结构数据(如图像,视频等)也是图数据的一种特殊形式,因此图是一个很值得研究的领域。

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A Critical Review of Recurrent Neural Networks for Sequence Learning

Countless learning tasks require dealing with sequential data. Image captioning, speech synthesis, and music generation all require that a model produce outputs that are sequences. In other domains, such as time series prediction, video analysis, and musical information retrieval, a model must learn

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Alex Graves大神的论文

This paper presents a speech recognition sys- tem that directly transcribes audio data with text, without requiring an intermediate phonetic repre- sentation. The system is based on a combination of the deep bidirectional LSTM recurrent neural network architecture and the Connectionist Tem- poral Cl

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Neural Networks: A Comprehensive Foundation (2nd Edition)

Simon Haykin的经典神经网络教程,英文原版,详尽讲解了神经网络的各个方面

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