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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)
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.)
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)
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
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)
极限学习机
- 极限学习机分类器，训练函数与预测函数，以及数据实例(Extreme Machine Classifiers, Training and Prediction Functions, and Data Instances)
《1天搞懂深度学习》-李宏毅
- 适合新手的深度学习教程,李宏毅《一天搞懂深度学习》(deep learning resource)
周志华-机器学习_
- 入门级别的机器,内容较多，篇幅较长，请耐心学习，高清的可以自kindle中看(The introduction level machine, the content is more, the length is longer, please be patient to study, the high definition can see from the Kindle.)
Deep_Learning深度学习中文版
- 此深度学习课件为中文版，翻译的质量比较好奥，大家请放心学习，最好自学(This depth study courseware is Chinese version, the quality of translation is very good, everybody please rest assured to study, the best self stu)