资源列表
Cheatsheets-master
- 各种工程师的知识图谱说明，可参考下，寻找自己的缺失点。(Various engineers' knowledge map explanation can be referred to below to find their own missing points.)
周志华-机器学习_
- 周志华机器学习，人工智能的经典入门书籍。。。。(Zhou Zhihua's machine learning, the classic introductory book of artificial intelligence.)
htru2
- 对脉冲星的二分类问题，利用逻辑回归，里面有详细的注解(For the two classification problem of pulsars, there are detailed annotations.)
libsvm-3.22
- Matlab中的一个工具箱,可以用来分类(a toolbox in Matlab,it can be used to classify data.)
KNN分类器
- 一、用python或matlab编写一个KNN分类器 训练集为semeion_train.csv（手写体识别） 测试集为semeion_test.csv 计算在测试集上错误率（k=1,k=3,k=5,k=10） ?(1. Write a KNN classifier with Python or matlab Training set is semeion_train.csv (handwriting recognition) The test set is semeion_test
BP_annotate
- 模拟仿真 ，神经网络训练，BP神经网络算法及建立(simulink,train,BP net work)
DeepLearnToolbox_CNN_lzbV3.0
- cnn的MATLAB编程语言可以进行学习深度学习的编程语言与基础应用(Cnn's MATLAB programming language)
deep_q_rl-master
- This package provides a Lasagne/Theano-based implementation of the deep Q-learning algorithm described in: Playing Atari with Deep Reinforcement Learning Volodymyr Mnih, Koray Kavukcuoglu, David Silver, Alex Graves, Ioannis Antonoglou, Daan Wierst
qlearning4k-master
- qlearning4k是强化学习Python深度学习lib库Keras插件。它简单，是快速成型的理想选择。(Qlearning4k is a reinforcement learning add-on for the python deep learning library Keras. Its simple, and is ideal for rapid prototyping.)
pytorch-vae-master
- 变分子编码 重构图像 Mnist 特征提取(vae reconstruction Mnist feature extracting)
卷积神经网络python代码
- 用于进行图像识别与大型图像的处理，是一种高效的识别方法(It is an efficient recognition method for image recognition and large image processing.)
NB
- 编写朴素贝叶斯分类器，对测试集进行分类预测，并计算分类精度(The naive Bias classifier is compiled, and the test set is classified and predicted, and the classification accuracy is calculated)