资源列表
ESN-py3
- 回声状态网络ESN源代码，python版，适用与python3和python2，包括输入层到输出层连接(Echo state networks python code, suit for python3 and python2, including input units to output units links)
Untitled2
- k—means函数，RBF网络能够逼近任意的非线性函数，可以处理系统内的难以解析的规律性，具有良好的泛化能力，并有很快的学习收敛速度，已成功应用于非线性函数逼近、时间序列分析、数据分类、模式识别、信息处理、图像处理、系统建模、控制和故障诊断等。(k-means function, RBF network can approximate any non-linear function, can deal with difficult-to-resolve regularity in the sys
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)
bp神经网络学习报告
- 用于学习bp神经网络的例子，里边附有代码(bp netural network which can help you study bp network)
libsvm-mat-2.89-3-[farutoFinalVersion]
- 利用SVM进行数据的分类实验，实现数据的分类处理(The classification experiment of data is carried out by SVM, and the classification of data is realized)
bayes
- 自己书写的一段机器学习的朴素贝叶斯算法，基于Python实现(The Implementation of Bayes Algorithm in Python)
brazilian_coffee_dataset
- brazilian coffee scene 数据集(brazilian coffee scene dataset)
testandtrain
- 利用三层卷积神经网络识别信号星座图，准确识别8psk，16psk，32psk，64qpsk四种调制方式，在低信噪比的情况下已然有良好的识别率。(The three layer convolution neural network is used to identify signal constellation, and accurately identify four modulation modes of 8PSK, 16PSK, 32psk and 64qpsk. It has a good
数据挖掘2
- 本实验文档包括了数据挖掘的分类算法，FP-growth和Apriori 算法的java程序设计实现。(This report is about the classification algorithm, it contains FP-growth algorithm and Apriori algorithm.)
数据挖掘3
- 本实验主要包括了数据挖掘的ID3和 KNN算法。(This report is manily about the Data Mining algorithm, includes the ID3 algorithm and KNN algorithm.)
数据挖掘4
- 本实验主要涉及数据挖掘的实现 K-means和DBSCAN聚类算法,完成对中医数据的处理。(This report is mainly about the Data Mining algorithm, includes K-means and DBSCAN algorithm.)
cs231n assignment solutions
- 斯坦福深度学习公开课cs231n的前两次作业代码(1st and 2nd assignment of cs231n, stanford deep learning course)