搜索资源列表
keras-master
- 通过用深度学习来有效的提取出有用的特征,其基于kares框架和TensorFlow来实现的(Effectively extract useful features by using depth learning, it is implemented on the basis of the kares fr a mework and TensorFlow)
deepdesc-release-master
- 利用深度学习对特征描述符进行训练,得到较精确的特征描述符(The feature descr iptors are trained by depth learning to obtain more accurate feature descr iptors)
吴恩达深度学习基础教程
- 吴恩达博士是Google Brain项目的发起人和领导者,斯坦福大学的计算机科学教授,Coursera的联合创始人和联合*。他还曾任百度的副总裁和首席科学家,(Dr. Wu Enda is the founder and leader of the Google Brain project, a professor of computer science at the Stanford University, co - founder
深度学习(高清中文).pdf
- AI的必读宝典,战胜高富帅迎娶白富美的时代心经(AI must read book, beat the rich handsome married white Formica Sutra Era)
深度学习的基本理论与方法
- 这份ppt详细描述了深度学习德基本理论和方法,对deep learning的初学者有很大帮助.(This ppt describes in detail the basic theories and methods of deep learning, which is very helpful for beginners of deep learning.)
tensorflow
- 这是关于tensorflow的视频及源代码,课程不是很长时间,对有基础的人来进行深度学习都是不错的;还有一份Tensorflow-Master这本书的源代码(This is the video and source code of tensorflow. The course is not very long. It's good for deep learning based on people.)
深度学习
- 深度学习相关理论与应用 深层网络介绍及应用(Theory and implementation of deep learning)
花书
- 深度学习是机器学习的一个分支,它能够使计算机通过层次概念来学习经验和理解世界。因为计算机能够从经验中获取知识,所以不需要人类来形式化地定义计算机需要的所有知识。层次概念允许计算机通过构造简单的概念来学习复杂的概念,而这些分层的图结构将具有很深的层次。本书会介绍深度学习领域的许多主题。(Deep learning is a branch of machine learning. It enables computers to learn
TensorFlow
- 深度学习实战——黄文坚,tensorflow实战教程,通俗易懂(Deep study in real war -- Huang Wenjian)
DeepLearnToolbox-master
- 深度学习MATLAB的工具箱,包括CNN、RNN、CAE、LSTM等复杂的神经网络的代码。(Deep learning MATLAB toolbox, including CNN, RNN, CAE, LSTM and other complex neural network code.)
万门大学强化学习算法代码RW模型+TD模型
- 万门大学,强化学习,rw模型算法代码实现, V(CS) = V(CS) + A * ( V(US) * us - V(CS) * cs ) td模型, V(s{t}) = V(s{t}) + a[R(t+1) + rV{S(t+1)} - V{S(t)}](In the intensive learning of the University of Wan men, the RW algorithm, the python i
万门大学强化学习GridEvalu模型GridPolicy模型
- 万门大学,强化学习,Grid_world_evaluation模型算法代码实现, V(S) = V(S) + A * ( R(S) + r*V(new_S) - V(S) ) Grid_world_Policy模型, P(S) = P(S) + A * ( R(S) + r*P(new_S) - P(S) )(In the intensive learning of the University of Wan men,
GudongRecommendation-master
- 基于深度学习和协同过滤算法实现问卷调查内容推荐,通过深度学习中的tensflow构建项目评分矩阵,利用协同过滤算法产生推荐结果。(Based on the depth learning and collaborative filtering algorithm, the content of the questionnaire is recommended. The project score matrix is constructed
迁移学习简明教程
- 这是一本最新的关于迁移学些的介绍文档,内容有85页左右,对迁移学习的方方面面介绍的比较到位,其中还有迁移学习的大牛 杨强教授对该内容提出了宝贵的意见。(A brief tutorial on migration learning)
matconvnet-manual
- 图像深度学习英文资料;卷积神经网络的MATLAB(Image depth learning English materials;Convolutional Neural Networks for MATLAB)
matlab 深度学习
- matlab 进行深度学习入门;介绍了深度学习和深度学习场景,以及构建深度学习网络(It introduces the deep learning and deep learning scenarios Matlab, and the construction of deep learning network.)
music-source-separation-master
- 基于深度学习的唱声分离,可以将带有配乐的音乐分离出背景与唱声。(Sings separation based on deep learning)
code
- 一般深度学习MATLAB代码 一个简单深度学习工具箱原创(General deep learning MATLAB code)
Desktop
- 一般深度学习MATLAB代一个简单深度学习工具箱(General deep learning MATLAB generation of a simple deep learning toolbox)
03_III._DIVIDE__CONQUER_ALGORITHMS_Week_1
- 人工智能,深度学习,神经网络,基础算法,适合学习的PPT /视频(Artificial intelligence)