搜索资源列表
深度学习 21天实战Caffe ,赵永科著(暗) ,P373.pdf
- 深度学习 21天实战Caffe 教程 快速掌握框架(Deep learning 21 days real battle Caffe tutorials fast mastering framework)
Tensorflow 实战Google深度学习框架
- 深度学习框架，适合人工智能学习以及刚入门的知识普及(Deep Learning Framework)
机器学习与R语言（machine_learning）
- 机器学习与R语言（machine_learning）源代码下载，内含R语言实现机器学习算法和应用案例(Machine learning and R language (machine_learning) source code download, containing R language to implement machine learning algorithms and application cases)
机器学习实战.pdf
- 一本适合机器学习入门的书籍，包含大量流行的机器学习算法和python实现(A book suitable for machine learning, including a large number of popular machine learning algorithms and python implementation)
基于极限学习G-score
- G-score是一个特征排序的准则，极限学习机结合G-score是一种filter+wrapper的混合特征选择算法(G-score is a criterion of feature sorting. Limit learning machine combined with G-score is a hybrid feature selection algorithm of filter+wrapper)
斯坦福大学-深度学习基础教程
- 斯坦福大学的深度学习，基础教程。ps:要求先学完吴恩达的机器学习基础再来看，不然看不懂(Depth study of Stanford University, basic course. Ps: needs to learn the basis of Wu Enda's machine learning first, or you can't understand it.)
基于机器学习的手写数字识别
- 基于Python机器学习的手写数字识别 基于Python机器学习的手写数字识别(Handwritten digit recognition based on Python machine learning Handwritten digit recognition based on Python machine learning)
Deep_Learning(深度学习)
- 深度学习入门教程，由浅入深，包含深度学习的基本思想，各种训练模型已经卷积神经网络相关内容(Deep learning introduction course, from shallow to deep, including deep learning basic ideas, various training models have convolution neural network related content)
机器学习常用方法
- 机器学习常用方法的python实现，包括PCA，随机森林，决策树，层次聚类，kmeans，KNN，线性感知机等(Python implementation of common machine learning methods, including PCA, random forest, decision tree, hierarchical clustering, kmeans, KNN, linear perceptron, etc.)
07 极限学习机（Extreme Learning Machine, ELM）
- ELM算法指出，其实隐层的权值矩阵W和偏置b其实是没有必要调整的，在学习算法开始时，任意随机给定W和b的值，利用其计算出H（隐层节点的输出），并令其保持不变，需要确定的参数就只有β了。这是一个比较重要的理论基础。(The ELM algorithm is pointed out, in fact, hidden layer weights matrix W and B is not necessary to adjust the bias of the learning algorithm, i
深度学习的研究与发展
- 帮助你学习深度学习，理解深度学习的实战算法。常有在深度学习的知识海洋(Help you to learn deep learning)
张志华-机器学习导论
- 机器学习导论--张志华。机器学习权威书籍(Introduction to machine learning - Zhang Zhihua. Machine learning authority books)
深度学习 21天实战Caffe 547458
- 深度学习资料,深度学习实战21天的PDF版本(Some datasheet about the deep learning and this can be very efficient.)
神经网络与机器学习（原书第3版）
- 神经网络与机器学习电子书,欢迎大家下载，共同学习(Textbook of Neural Network)
机器学习实战
- 机器学习的算法，主要使用python语言，Numpy库，进行算法分析。(Algorithm for machine learning)
深度学习.pdf
- 深度学习-MIT资料 里面介绍了很多深度学习的知识从最简单的回归问题到最深刻的神经网络深入浅出(Deep learning -MIT information introduces a lot of deep learning knowledge from the simplest regression to the deepest neural network.)
dcgan_mnist（对抗学习）
- 对抗学习，也有叫“增强学习”。其原理是机器自己与自己进行对抗或博弈，更通俗点说，就是机器人与机器人下棋。("Against learning", also called "enhanced learning". The principle is that the machine itself is playing against or playing games with itself, and more generally speaking, it is
设计模式学习
- 从《大话设计模式》中迁移而来，概括并重写了多数设计模式的Demo，有助于自己的学习和理解，初级学者可以参考学习。(Demo, which generalizes and rewrites most of the design patterns, helps to learn and understand, and the primary scholar can learn to learn.)
周志华 机器学习
- 周志华机器学习算法的理论知识 包括常用的各种算法的详细描述(The theoretical knowledge of zhou zhihua's machine learning algorithm includes the detailed descr iption of the commonly used algorithms.)
TensorFlow实战Google深度学习框架
- TensorFlow实战Google深度学习框架，非常详细，推荐实用(TensorFlow real Google deep learning framework, very detailed, recommended practical)