深度学习允许由多个处理层组成的计算模型来学习具有多个抽象层次的数据表示。这些方法极大地提高了语音识别、视觉对象识别、目标检测以及药物发现和基因组学等许多领域的最新进展。深度学习发现复杂的结构在大数据集，通过使用反向传播算法来指示一台机器应该如何改变其内部参数，用于计算在每一层的代表性，从上一层的代表。深层卷积网在处理图像、视频、语音和音频方面取得了突破性进展，而递归网络则在文本和语音等连续数据上起到了作用。
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. (2017-11-06, WINDOWS, 1470KB, 下载10次)
QQ机器人群管理、智能、游戏、娱乐、词库、
QQ machine crowd management, intelligence, games, entertainment, thesaurus, (2017-10-15, WINDOWS, 515KB, 下载8次)
极限学习机(ELM)在java下的实现算法，此为eclipse项目，已经添加好可用的jar包，调整文件路径后可以直接运行,(PS.极限学习机算法为elm官网所提供)
Extreme learning machine (ELM) in Java implementation algorithm, this is the eclipse project, has added a good jar package, adjust the file path can be directly run (PS. limit learning algorithm is provided by elm official website) (2017-07-15, WINDOWS, 1959KB, 下载24次)
神经网络代码
Neural network code (2004-06-16, WINDOWS, 2KB, 下载35次)