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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.)
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 experience and understand the
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 implementation, the algorithm f
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, the Grid_world_evaluation algo
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 through the tensflow in depth
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)
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)
chapter_1
- tensorflow+python，21个项目玩转深度学习第一章的代码(tensorflow+python 21 projects based on tensorflow and python)
机器学习算法PPT
- 机器学习课件 从基础入门到深度学习 很详细(Machine learning courseware)
rcnn_car_object_detection
- 基于深度学习的汽车目标检测，所需matlab版本为2017(Deep Learning Based Vehicle Target Detection)
Machine_Learning
- 包含了各种机器学习和深度学习的算法，大家互相学习(It contains all kinds of algorithms for machine learning and deep learning, and we learn from each other.)
基于深度学习的汽车目标检测
- 通过使用Matlab软件，实现了基于深度学习的汽车目标检测。(By using Matlab software, vehicle detection based on deep learning is realized.)
Neural-network-and-depth-study-notes
- 简单介绍神经网络基础知识和各重要深度学习流行模型，含有详细的数学推到公式。(A brief introduction to the basic knowledge of neural networks and the important depth of learning popular models, containing detailed mathematical push to the formula.)
Exercise-dp-learning
- 深度学习例子，共五个，逻辑回归，线性回归等等(deep learning examples)
MATLAB深度学习简介
- 简单的介绍什么是深度学习、深度学习的应用场景等基础知识，帮助我们快速入门该领域(Briefly introduce what is the basic knowledge of deep learning, deep learning application scenarios, and help us quickly get started in this field.)
CAE
- 卷积自编码器，深度学习中的CAE，类似CNN，是深度学习的基本框架之一(Convolution self encoder, CAE in depth learning, similar to CNN, is one of the basic frameworks for deep learning.)
1D-CNN
- 一维信号的深度学习算法和例子包括CNN、DBN等，有详细的说明(Deep Learning Algorithms and Examples for One-Dimensional Signals)