搜索资源列表
fortran-sheji-jiaocheng
- fortran语言的学习教程，零基础的可以下载，也有深度，搞数值计算的必须要看一下滴-fortran language learning tutorials, zero-based, available for download depth, engaging look at numerical calculation must drop
g13tsr
- 机器学习启蒙实战学习源码，回归模型，分类模型，聚类和相似度模型，推荐系统，深度学习等学习代码。(Machine learning, practical combat learning source,regression model, classification model, clustering and similarity model, recommendation system, depth learning and other learning code.)
LSTM_learn-master
- 采用LSTM算法用python语言实现的信号时间序列预测，可预测信号的占用度(The LSTM algorithm is used to predict the signal time series in python language)
Program3-RanShu
- 实现决策树算法 深度学习 。。。。。。。。。。。(decision tree learning)
k-means算法2
- 使用该算法可以实现数据的聚类分析，非常适合初学者。(The algorithm can be used to achieve clustering analysis of data, ideal for beginners.)
xiangqi
- 象棋的人工实现，机器人下象棋，python实现智能象棋(chess Artificial realization of chess, robot chess, and intelligent chess by Python)