搜索资源列表
caffe 可视化
- 这个是深度学习caffe框架的一些可视化代码(it is about caffe, a deep learning framework, in a easy to see way to the readers.)
感知器算法证明
- 机器学习中神经网络的感知器算法的相关证明(The proof of perceptron algorithm of neural network in machine learning)
人工神经网络后向传播算法推导
- 机器学习中神经网络的后向传播算法的相关推导(The derivation of backpropagation algorithm for neural networks in machine learning)
NEURAL_NETWORK_CODE
- 机器学习中神经网络的NN网络和CNN网络的MATLAB程序例程(NN neural network in machine learning and CNN network MATLAB routines)
Machine learning an algorithmic perspective
- 机器学习(Machine Learning, ML)是一门多领域交叉学科，涉及概率论、统计学、逼近论、凸分析、算法复杂度理论等多门学科。专门研究计算机怎样模拟或实现人类的学习行为，以获取新的知识或技能，重新组织已有的知识结构使之不断改善自身的性能(Machine learning (Machine Learning ML) is an interdisciplinary subject, involving probability and statistics, approximation th
1502700551325609
- 用python编写与图片相关的机器学习神经网络，分享一下(nothing but null nothing nothing nothing but null nothing nothing)
Pattern Recognition and Machine Learning
- 机器学习和图像识别，自有资源上传，不是原创(Machine learning and image recognition)
Deep-learning
- 深度学习与机器学习经典之作，欢迎大家下载越读~~~~(Deep learning and machine learning)
matlab学习
- 认知无线电模型建立，matlab初步学习资料，对于刚接触的人来说会有帮助(Cognitive radio model building, matlab preliminary learning materials, for those who have just touched will help)
《机器学习实战》源代码
- python人工智能机器人学习源代码，配套书籍为python机器人学习(Python artificial intelligence robot learning source code, supporting books for Python Robot Learning)
机器学习实战(Peter Harrington 著)
- K-近邻算法,机器学习第二章节部分第一个程序源码，python3.6可运行(K- nearest neighbor algorithm, machine learning section second chapter, the first program source code, python3.6 can run)
深度学习 21天实战Caffe
- 深度学习caffe框架学习，适合新手入门 下载后如果解压不成功，将后缀改为.7z再次解压即可(Deep learning caffe framework learning, suitable for beginners)
deepLearn
- 深度学习的开发工具，有利于大家学习。自测能用(Development tools for deep learning)
15_EKF_UKF
- UC Berkeley 大学学习扩展卡尔曼滤波和无迹卡尔曼滤波的pdf资料(A PDF file of UC Berkeley for learning EKF and UKF)
一天搞懂深度学校-李宏毅
- 机器学习初学者入门所用，能快速厘清相关概念(Machine learning beginners access, can quickly clarify the relevant concepts)
ex1
- 斯坦福大学机器学习课程练习一的参考源码，可以直接运行，辅助学习，仅供参考。(A reference source code of Stanford University machine learning course. It can run directly. Aided learning. For reference only.)
Q_learning
- q学习,强化学习中的人工智能方法，实用型强化学习(Q learning, reinforcement of artificial intelligence methods, practical reinforcement learning)
《神经网络与机器学习》-课件ppt-课后答案
- 第三版神经网络与机器学习答案 simon(Third edition answer)
TENSORFLOW_MACHINE_LEARNING_COOKBOOK
- tensorflow与机器学习、深度学习的cookbook(tensorflow cookbook with machine learning, deep learning)
Dynamic Programming and Reinforcement Learning
- 动态规划强化学习的课程作业，有详细的问题描述，问题分析，以及具体源代码(The One-Site Tree Cutting Problem By Dynamic Programming and Reinforcement Learning)