搜索资源列表
RNN-Tutorial-master
- 循环神经网络教程 循环神经网络教程-Recurrent Neural Network TutorialRecurrent Neural Network TutorialRecurrent Neural Network Tutorial
RNN-RTRL-train
- 递归神经网络-实时学习训练算法代码，亲测可用，简洁无误，容易上手。- Recursive neural network- real-time learning training algorithm code, pro-test available, simple and correct, easy to use.
RNN_Open_Source.mq5
- Expert Advisor with three-layer neural network
Temperature-Prediction-RNN
- 根据已有样本进行学习，以达到对未来的天气预测(Learn from existing samples to predict future weather)
linux
- ren人工智能分类算法safbsdubfas你说怕是(cnn rnn cppasfasdfas fasdhfka)
Make3DFeature-master
- 基于单幅图像，采用马尔科夫随机场进行三维重建，即推测方向。本文仅假设场景由多个小平面组成，算法将图像分割为若干超像素块，同时考虑深度信息和不同超像素间的关系，进行有监督学习。(rnn_trainnet.m is a scr ipt used for training the S-RNN rnn_testnet.m is a scr ipt used for generating a summary of multiple albums
MLBook source code
- 机器学习的一些源码，包括KNN，k邻近，RNN神经网络等一些代码，参考书目周志华机器学习(Some source code for machine learning)
nn_code
- 使用Python实现的一些简单神经网络算法，实现的神经网络包括BP,CNN,RNN,LSTM等，主要是理解这些神经网络的算法原理，并附有mnist数字识别例子。(neural network,include BP,CNN,RNN,LSTM.)
MyPro
- LSTM RNN python machine learning
RNNSharp-master
- Convolutional Neural Network
DeepLearning
- 用于分词，深度学习算法，使用了RNN神经网络，可以进行参数设置(Used for participle, depth learning algorithm)
RNN网络代码
- 循环神经网络代码，简单实现深度学习的方式。初学者使用(Recurrent neural network code, a simple way to realize deep learning. Beginners use)
text-classification-cnn-rnn-master
- 使用TensorFlow实现中文新闻类别分类(Using TensorFlow to classify Chinese news categories)
3_14
- tensorflow 学习的一些例子 有cnn的 有rnn的 lstm word2vec udacity学院 的 等(Some examples of tensorflow learning are CNN's LSTM word2vec with RNN Udacity College)
crfasrnn_keras-master
- 关于crf-rnn的keras代码,相关论文在readme中可以找到，觉得是很好的学习资料(code of crf-rnn written by keras)
char-rnn-chinese-master
- 用于自动小说生成器，需要自行训练，目前训练loss不够(Source file developed by screw UG two times. Please download it by yourself)
RNN
- python实现的循环神经网络，带数据集，可运行(Python implemented recurrent neural network, with data sets, can be run)
newjor
- 在进行基于matlab语言的深度学习时，为了更好地理解深度学习中的深度循环神经网络，请认真学习一下RNN函数。(In deep learning based on MATLAB language, in order to better understand deep recurrent neural network in deep learning, please carefully study the RNN function.)
rnnoise
- 改代码为音频降噪功能，是基于RNN的音频降噪算法。其中采用的是 GRU/LSTM 模型，支持wav格式。(The modified code is an audio denoising function, which is based on RNN's audio denoising algorithm. The GRU/LSTM model is adopted to support the wav format.)
tf-rnn-attention-master
- attention实现代码，应用python编写(Attention implementation code, written in python)