机器学习相关资料

零、数学基础方面的资料

一、用于数值计算的工具箱

    http://www.vlfeat.org/matconvnet/

    http://www.tensorfly.cn/

    https://www.tensorflow.org/

    http://playground.tensorflow.org

    http://torch.ch/

    http://deeplearning.net/software/theano/

    http://caffe.berkeleyvision.org/

    http://cntk.codeplex.com/

    https://chainer.org/

    http://mxnet.io/index.html

    https://keras.io/

二、实例

    https://github.com/fchollet/keras/tree/master/examples

三、数据源

    http://yann.lecun.com/exdb/mnist/

四、个人学习的网站

    http://blog.csdn.net/han_xiaoyang/article/

    http://www.julyedu.com/video/play/79/694

    http://cs231n.stanford.edu/

    http://deeplearning.stanford.edu/wiki/index.php/UFLDL_Tutorial

    http://open.163.com/special/opencourse/machinelearning.html

    http://lamda.nju.edu.cn/weixs/project/CNNTricks/CNNTricks.html

    http://www.teglor.com/b/deep-learning-libraries-language-cm569/

    DL四大“金刚”：从左至右依次为Yann Lecun, Geoffrey Hinton, Yoshua Bengio, Andrew Ng.

四、更多资料

    https://deepmind.com/

    https://blog.openai.com/