资源列表
convLSTM_minimum-master
- 卷积长短期机器模型用于预测空间上与时间上的值，是基于LSTM模型的改进算法(Convolutional long-term and short-term machine model is an improved algorithm based on LSTM model for predicting spatial and temporal values.)
rnn文字识别
- 基于深度学习平台tensorflow，利用RNN进行文字识别实例，(Based on the deep learning platform tensorflow, RNN is used for text recognition.)
TransferEntropy1
- 传递熵算法代码，用于分析不同波动之间的关系，包括时延、权重等仅供参考(Transfer Entropy Algorithm Code, used to analyze the relationship between different fluctuations, including delay, weight, etc. for reference only)
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)
flower_CNN
- 简单的的CNN对花进行分类，里面包括代码和数据(Using CNN to classify the flower,which include data and code)
MATLABcode
- 采用bp对男女生样本数据中的身高，体重，喜欢数学，喜欢文学，喜欢运动，设计男女生分类器，并计算模型预测性能（包含SE,SP,ACC和AUC ）。(Using bp for height and weight in male and female sample data, like math, like literature, like sports, design boys and girls classifiers, and calculate model prediction perform
PSO
- 粒子群求一元/二元函数极值，粒子群改变权值(Particle swarm optimization is used to find the extreme value of a one / two element function.)
symbol_resnet
- RACNN注意力机制，细腻度图片分类。 RA-CNN由上到下用了3个尺度并且越来越精细，尺度间构成循环，即上层的输出作为当层的输入。RA-CNN主要包含两部分：每一个尺度上的卷积网络和相邻尺度间的注意力提取网络(APN, Attention Proposal Network)。在每一个尺度中，使用了堆叠的卷积层等，最后接上全连接层于softmax层，输出每一个类别的概率；这个是很好理解的，代码采用的网络结构是VGG的网络结构。(RACNN attention mechanism)
tf_stock_1
- 利用lstm预测股票接下来100个时刻的股价，并作图(Using LSTM to Predict Stock Price)
CNN
- 该代码文件全称为卷积神经网络，这是深度学习神经网络里面处理图片比较好的网络。(The code file is called convolutional neural network, which is a better network for processing pictures in deep learning neural network.)
BP神经网络预测
- BP神经网络预测matlab的源代码，里面还附有公路运输的预测实例，只需修改数据即可。(BP neural network predicts the source code of matlab, which also includes a road transport prediction example, just need to modify the data.)
actor-critic
- 基于actor-critic的DDPG强化学习算法(DPG reinforcement learning algorithm based on actor-critic)