搜索资源列表
The_Zynq_Book_ebook_chinese
- The_Zynq_Book_ebook_chinese中文学习手册(The_Zynq_Book_ebook_chinese)
network_learn
- 简单地实现全神经网络，适合深度学习的基础入门。(Simple implementation of the whole neural network, suitable for in-depth study of basic entry.)
2、KNN学习
- KNN算法MATLAB仿真，KNN算法是经典的分类算法，是机器学习的基础算法(KNN algorithm, MATLAB simulation)
TensorFlow实战_黄文坚（完整）
- 教会你如何通过Python语言实现TensorFlow框架，作为一个深度学习的初学者，想要接触TensorFlow框架的初学者，是非常好的学习资料。(Teach you how to implement TensorFlow framework through the Python language, depth of learning as a beginner, want to contact TensorFlow framework of beginners, is a very good
深度学习模型（卷积神经网络，深信度网络和堆栈稀疏自动编码器）
- 深度学习网络，包含卷积神经网络,深信度神经网络,和堆栈稀疏自动编码器等
1-160521014039
- 就是机器学习的PPT 台湾教授教学的，英文PPT ，很不错(Machine learning PPT, Taiwan professor teaching, English PPT, very good)
Python-ELM-master
- 这是一种学习速度快、泛化性能好的学习模型(A learning model with good learning speed and good generalization performance)
Machine Learning in Action with PDF and CODE
- 机器学习经典教程，Machine Learning in Action，高清扫描可编辑pdf以及相应的Python代码。(Machine learning classic tutorial, Machine, Learning, in, Action, high-definition scanning, editable PDF, and the corresponding Python code.)
Machine Learning in Action
- 机器学习重点推荐点推荐，学习必杀技点推荐，学习必杀技(machine leaing a probabilistic perspective)
ELM_MatlabClass
- 极限学习机只需要设置网络的隐层节点个数，在算法执行过程中不需要调整网络的输入权值以及隐元的偏置，并且产生唯一的最优解，因此具有学习速度快且泛化性能好的优点。该程序是用于极限学习机分类。(Extreme learning machine only need to set the number of hidden nodes of the network, the algorithm execution process does not need to adjust the input weight
Regression
- 一个简单机器学习的范例,内涵基本数据，初学者必备(Examples of simple machine learning)
迭代多输入多输出
- 迭代学习触及学习，多输入多输出，，，，，，，，，，，，，，(Iterative learning control (ILC) is an effective technique that improves the tracking performance of sys- tems by adjusting the feedforward control signal based on the memory data. The key in ILC is to design learning fi
ml-startup-1
- 线型模型的学习资料 python源码，依赖sk-lean库实现(Linear model of learning materials Python source code, relying on sk-lean library implementation)
Fortran95程序设计【彭国伦】学习笔记
- 这是经典的将学习笔记总结之后写成的一本书籍，相当经典，里面详细地讲解了fortran语言的设计步骤以及语言的语法功能等(This is a classic book which is written after the summary of the study notes, which is quite classic, which explains the design steps of FORTRAN and the grammatical functions of the language
Class_2_Code
- 机器学习基础，关于一些矩阵变换、向量化编程、循环体的使用等(Machine learning basis, about some matrix transformation, quantitative programming, the use of cyclical bodies)
梯度下降
- 这是一篇精华文章，详细的说明了深度学习梯度下降算法的思想，并附有程序结果。(This is an essence of the article, detailed descr iption of the depth of learning, gradient descent algorithm ideas, along with program results.)
svm
- matlab实现的支持向量机，简易的实现代码学习分享(Matlab support vector machines, simple to achieve code learning to share)
high-speed railway
- 机器学习简介,特别的时候新手查看，受益匪浅。上传于2017年底，简单易懂。(machine learning method. introduced the CNN basic idea and how to use it and when to use it. Very useful for new guys)
mtalab_simulink学习资料
- matlab_simulink学习资料，s_function,编程(Matlab_simulink learning materials, s_function, programming)
ESL
- 机器学习经典书籍，迈向高手必读的进阶类书籍。书中包涵大量理论知识及数学推导（尤其是习题），有助于了解机器学习各种方法背后的本质思想。(Machine learning classic books, advanced books must go to the master. The book contains a large number of theoretical knowledge and mathematical derivation (especially the exercises),