资源列表
神经网络
- 比较基础的神经网络讲解和入门知识，并附有一些代码(A relatively basic neural network explanation and introductory knowledge with some code)
粒子群算法
- 粒子群算法及讲解，容易理解，适合新手学习数学建模(Particle swarm optimization and explanation)
nn_CIFAR.py
- pytorch tutorial 代码 简单神经网络 数据集CIFAR(pytorch nn training sample code, Dataset: CIFAR dataset Usage: python3 nn_CIFAR.py)
相似度检测
- 可以计算文本相似度，任何语言！！！！！！！！！！！！！！！(Can calculate text similarity, any language!!!!!!!!!!!!!!!!!)
神经网络
- 单隐藏层神经网络，五折交叉验证外加训练集(Single hidden layer neural network)
LDA漫游
- LDA的一篇介绍。 LDA的全称是Linear Discriminant Analysis（线性判别分析），是一种supervised learning。LDA是在目前机器学习、数据挖掘领域经典且热门的一个算法(An introduction to LDA. LDA's full name is Linear Discriminant Analysis (Linear Discriminant Analysis), is a supervised learning. LDA is a clas
kNN
- kNN金陵算法算法源文件，包括输入，过程逻辑算法，输出(Algorithm source file)
bp神经网络在线学习
- bp神经网络在线学习pid控制，希望有所帮助(Online learning PID control of BP neural network)
BP网络c++
- 神经网络可移植头文件程序，不用修改可直接使用，网络大小可通过参数任意调节(Neural network portable head file program, without modification, can be used directly, network size can be adjusted arbitrarily by parameter)
TensorFlow
- 这是香港科技大学的tensorflow课程，对于深度学习入门很有帮助(This is the tensorflow course at the Hong Kong University Science & Technology, which is helpful for the introduction of deep learning)
popn18
- final popen source of the gnu tools
Learning Deep Architectures for AI
- 一本关于深度架构学习算法，尤其是用来构造更深层模型的非监督学习的单层模型。(Theoretical results suggest that in order to learn the kind of com- plicated functions that can represent high-level abstractions (e.g., in vision, language, and other AI-level tasks), one may need deep archite