搜索资源列表
quasi-rnn-master
- A TensorFlow Implementation of Character Level Neural Machine Translation Using the Quasi-R-A TensorFlow Implementation of Character Level Neural Machine Translation Using the Quasi-RNN
RNN_Text_Classify-master
- 基于ＲＮＮ实现文本分类，一个简单的小例子(Based on RNN implementation examples of text classification)
char_rnn
- 手写实现rnn具体算法，你可以通过改程序了解rnn具体实现原理(Handwritten realization of RNN specific algorithm, you can change the program to understand the specific implementation principle of RNN)
001_Survey of Speech Enhancement Supported by a Bone Conduction Microphone
- 关于LSTM的论文及博客以及RNN代码的精选资料，便于入门学习.入门首先看000，理解RNN，以及python代码之后，再看002——LSTM博客。
RNN_LSTM-master
- descr iption de code RNN LSTM
RNN.ipynb
- tensorflow人工智能代码，RNN(tensorflow sourceCode:RNN)
Char-RNN-PyTorch-master
- # Char-RNN-PyTorch 使用字符级别的RNN进行文本生成，使用PyTorch框架。[Gluon实现] ## Requirements - PyTorch 0.2 - numpy ## Basic Usage 如果希望训练网络，使用如下的代码 ```bash python main.py \ --state train \ --txt './data/poetry.txt' \ # 训练用的txt文本 --batch 128 \ # batch_siz
RNN
- just a easy programer achieving addition.
Emotion-Recognition-RNN-master
- EMotion Recongition from speech using RNN
RNN_2015
- RNN 论文阅读，帮助理解RNN的实现，以及应用。涉及lstm等rnn网络(RNN papers; including lstm)
rnnoise-master
- 使用RNN来对语音数据进行降噪处理，获得关键信息(using RNN network to process the voice message, in order to make it more clear;)
Char-RNN-TensorFlow-master
- 使用深度学习 RNN循环神经网络，lstm实现余弦预测(lstm to predict sine)
test1
- 神经网络，深度学习上非常经典的例子-RNN循环神经网络，使用mnist数据集，代码简单易懂，学习方便(Neural network, deep learning is a very classic example -RNN circular neural network, the use of mnist data sets, the code is easy to understand, easy to learn)
组会材料
- CNN, RNN领域的一些优秀论文, 内容包括机器翻译等应用, 也包括一些入门材料。(Good papers about CNN and RNN)
40节点预测
- 利用人工智能RNN进行数据预测分析，效果还可以(Using artificial intelligence RNN to carry out data prediction and analysis, the effect is also possible.)
DeepLearnToolbox-master
- 深度学习MATLAB的工具箱，包括CNN、RNN、CAE、LSTM等复杂的神经网络的代码。(Deep learning MATLAB toolbox, including CNN, RNN, CAE, LSTM and other complex neural network code.)
CNN+RNN
- 行人再识别 CNN+RNN 亲测有效，训练时间短(person re-identification CNN+RNN)
test_rnn
- rnn （循环神经网络）实验，算法验证，tensorflow平台(the experiment of rnn using tensorflow)
MATLAB
- matlab使用layrecnet实现循环神经网络rnn(Matlab uses recurrent neural network to implement recurrent neural network RNN.)
RNN_matlab
- 用Matlab实现了最基本的RNN神经网络(Matlab to achieve the most basic RNN neural network)