资源列表
kmeans
- 机器学习/python入门项目五：k均值(Machine learning / python entry project five: k means)
图像重建反投影、滤波反投影matlab仿真程序
- 图像重建反投影、滤波反投影仿真，如果有需要的话，可以详细我的。(Image reconstruction backprojection and filtering back projection simulation)
deep learning
- 系统全面讲解了深度学习，有助于适合初学者学习。(Suitable for beginners)
demos
- 采用了遗传算法进行神经网络的优化,避免了神经网络容易陷入局部最小的问题,大大提高了接地选线的准确性。(Genetic algorithm is used to optimize neural network, avoiding the problem that neural network is easy to fall into local minimum, which greatly improves the accuracy of grounding selection.)
UJFTXJ
- 本算法采用相似搜索,和线性加权回归算法,主要用于预测,而且效果好,()
神经网络
- 传统的TSP问题，用hopfeild神经网络简单解决(The traditional TSP problem is solved by Hopfeild neural network.)
ChenxingMaterials
- 这是一种用于人类微生物疾病关联预测(Katzhmda)的katz度量的新的计算模型。(This is a novel computational model of KATZ measure for Human MicrobeDisease Association prediction)
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)
pytorch-vae-master
- 变分子编码 重构图像 Mnist 特征提取(vae reconstruction Mnist feature extracting)
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.)
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
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)