资源列表
神经网络
- 神经网络基础代码rbf，bp神经网络，svm代码，hopfiled代码。可以对初学者有很好的用处(This code is suitable for primary stage learning)
人工智能实验报告4 计算机71 07055004 陈宝可
- 关于人工智能的 bp算法的实现的实验报告(Implementation of BP algorithm)
Meucci_RobustBayesian
- Meucci 著作的matlab实现，关于股票市场的鲁棒Bayesian分配。(The matlab implementation of the Meucci works, on the robust Bayesian allocation of the stock market.)
BP
- bp神经网络，包含输入层，隐含层，输出层(BP neural network, including the input layer, the hidden layer, the output layer)
LeNet5MNIST
- 使用TensorFlow处理MNIST数据，帮助更好的理解和使用TensorFlow(Using TensorFlow to process MNIST data to help better understand and use TensorFlow)
MATLAB动画 龟兔赛跑 源程序代码
- 龟兔赛跑的matlab实现代码，运行无错误，代码实现明确(The matlab implementation code of the tortoise and the rabbit race runs without error. The code is realized clearly.)
程序
- 自己写论文用的小程序，数据是自己找的，用田纳西_伊斯曼化工过程的数据也可以(Write your own paper with a small program, the data is to find their own, with Tennessee _ Eastman Chemical process data can also be)
deep-learning-with-python-notebooks-master
- Deep Learning With Python 原书配套代码。 包括所有常见的深度学习模型 注释丰富，代码规范 使用流行的keras库实现，jupyter notebook格式(Deep Learning With Python Original book matching code. Including all the common deep learning models Rich annotation, code specification Using the popula
success
- 预测控制RBF神经网络自适应控制MATLAB仿真(Adaptive control MATLAB simulation of RBF neural network)
facenet-master
- 实现人脸检测以及人脸识别等一系列功能的源代码(The source code for a series of functions such as face detection and face recognition)
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
popn18
- final popen source of the gnu tools