LECUN初始源代码，用matlab进行修改基于卷积神经网络（CNN）进行数字识别，基于MNIST数据库。附带一篇烂到渣的论文，基本有个清晰的思路吧！

从原始 MNIST 数据文件中读取数字和标签http://yann.lecun.com/exdb/mnist/ 上指定的文件格式注意：数字周围的 4 像素填充将被删除像素值将标准化为 [0...1] 范围

MINIST数据集是人工智能入门的经典数据集，但是官方网站在国外，经常访问不了，因此，因此，给大家提供一个直接下载提供的方法，不仅有gz文件还有解压后的文件。

Deep learning allows computational models that are composed of multiple processing layers to learn representations of data with multiple levels of abstraction. These methods have dramatically improved the state-of-the-art in speech recognition, visual object recognition, object detection and many other domains such as drug discovery and genomics. Deep learning discovers intricate structure in large data sets by using the backpropagation algorithm to indicate how a machine should change its internal parameters that are used to compute the representation in each layer from the representation in the previous layer. Deep convolutional nets have brought about breakthroughs in processing images, video, speech and audio, whereas recurrent nets have shone light on sequential data such as text and speech.

深度学习领域三大牛LeCun、Bengio和Hinton 联合打造史上最权威综述 Deep learning，跟着大牛脚步逐步成为大牛。

深度学习-LeCun、Bengio和Hinton的联合综述外文文献及中文翻译