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stanford-deep-learning-matlab-code
- stanford大学deep learning在线课程课后练习代码，我自己写的，可以参考一下。-Excercise of deep learning online course from http://deeplearning.stanford.edu/wiki. It is written by myself, aiming to help other students who is confused in the course.
Exercise1-Sparse-Autoencoder
- 网址：http://deeplearning.stanford.edu/wiki/index.php/Exercise:Sparse_Autoencoder斯坦福深度学习的教程，这个是稀疏编码的的练习，可以直接运行-URL: http://deeplearning.stanford.edu/wiki/index.php/Exercise:Sparse_Autoencoder Stanford deep learning tutorial, this is a sparse coding exer
Exercise2-Vectorization
- http://deeplearning.stanford.edu/wiki/index.php/Exercise:Vectorization。斯坦福深度学习的教程，练习2的代码-http://deeplearning.stanford.edu/wiki/index.php/Exercise:Vectorization. Stanford deep learning tutorials, exercises 2 code
Exercise3-PCA-in-2D
- http://deeplearning.stanford.edu/wiki/index.php/Exercise:PCA_in_2D，斯坦福深度学习教程的代码-http://deeplearning.stanford.edu/wiki/index.php/Exercise:PCA_in_2D, Stanford depth tutorial code
Exercise4-PCA-and-Whitening
- http://deeplearning.stanford.edu/wiki/index.php/Exercise:PCA_and_Whitening斯坦福的深度学习的教程的练习，是关于数据预处理的-http://deeplearning.stanford.edu/wiki/index.php/Exercise:PCA_and_Whitening Stanford deep learning tutorial exercises about data preprocessing
DBN_RBM1.1
- 非常不错的深度学习算法DBN_DBM，欢迎大家下载交流！-A very good algorithm of deeplearning (eg.DBN_DBM), and it is suitable for researcher of deeplearning.
DeepLearning
- 基于DeepLearning网络态势感知建模方法研究_周长建 论文-Deep Learning
CRBM
- 条件受限玻尔兹曼机，可以用于深度学习的研究-conditional Restricted Boltsman Machine for deeplearning
DeepLearningTutorials
- deeplearning.net官网上的deep learning的教程，可以跟着网站上的内容一步一步的进行学习，达到快速入门的效果，是用python实现的-Deeplearning.net website deep learning tutorial, you can follow the content of the website step by step to learn, to achieve the effect of quick start, is made of python i
ml
- 机器学习基本算法，深度学习基本算法、python语言实现-the machine learning，deeplearning ，pythonlearning
softmax_exercise
- 该文档办了深度学习中Softmax问题的详细程序和代码-this document contain softmax of deeplearning network
DeepLearning-master
- 机器学习领域中的深度学习资料，其中包括了各种语言的版本，有matlab，C语言，c++等。代码中包括了深度学习的一些模型，如栈式自动编码机，深度信念网-It s about deep learning in machine learning, including some model with different programming language. The models are stacked auto encoders, deep belief nets and so on
DeepLearning
- 关于深度学习的详细的各种源代码，可以更好的理解深度学习的原理。-Depth study on the various sources of detailed, we can better understand the principle of the depth of learning.
DeepLearning-master
- 深度学习的概念源于人工神经网络的研究。含多隐层的多层感知器就是一种深度学习结构。深度学习通过组合低层特征形成更加抽象的高层表示属性类别或特征，以发现数据的分布式特征表示。[1] 深度学习的概念由Hinton等人于2006年提出。基于深信度网(DBN)提出非监督贪心逐层训练算法，为解决深层结构相关的优化难题带来希望，随后提出多层自动编码器深层结构。此外Lecun等人提出的卷积神经网络是第一个真正多层结构学习算法，它利用空间相对关系减少参数数目以提高训练性能。[1] 深度学习是机器
DeepLearning
- 深度学习是目前主流的人工智能方向，本代码基于MATLAB平台。-DeepLearning is a popular in the area of th AI,this code is based on the matlab platform
deeplearning
- 英文原版教程，原汁原味，下载自网络，大家共同学习一下吧(a deeplearning book downloaded from internet, let's do it)
DeepLearning
- DeepLearning 工具包C, C++, Java, phython, scala代码集合,(DeepLearning Toolkit :C, C ++, Java, phython, scala code collection)
DeepLearningBooks
- caffe, tensorflow, 多本深度学习的经典框架入门书籍，官方文档等。(caffe, tensorflow, deeplearning frameworks to learn. several great text books.)
序列模型
- 吴恩达，DeepLearning.ai，第四课序列模型相关papers收集整合(Andrew NG, DeepLearning.ai, fourth lesson sequence model related papers collection and integration)
Deep Learning with Python(Fran?ois Chollet)
- 深度学习入门教程；使用python一步步教你走向大神之路(use python language to learn deeplearning)