搜索资源列表
simulationCode
- 用python实现的最优路径选择算法。可运行,功能强大,值得学习!-Optimal path selection algorithm with python implementation. Can run powerful, it is worth learning!
Matlab-support-vector-machine
- 一位很厉害导师的支持向量机课件,详细地讲解了支持向量机编程的原理。-A very powerful mentor support vector machine courseware, in detail to explain the principle of support vector machine programming.
PCAaICA-1
- 一位很厉害导师的课件,详细地讲解了主分量分析的相关原理。 -A very powerful mentor courseware, explained in detail the main component analysis of the relevant principles.
PCAaICA-2
- 一位很厉害导师的课件,详细地讲解了独立分量分析的相关原理。 -A very powerful mentor courseware, explained in detail the independent component analysis of the relevant principles.
SVM-RFE-CBR-v1.3
- 在生物信息学中,SVM-RFE是一个强大的特征选择算法。这是一个不错的选择以避免过度拟合特性高的数量。-SVM-RFE is a powerful feature selection algorithm in bioinformatics. It is a good choice to avoid overfitting when the number of features is high.
神经网络
- 人工神经网络原理及仿真实例及matlab源代码,一个完整的演示系统及其源代码,很强大,代码都是这本书的实例,很好(Artificial neural network theory and simulation examples and matlab source code, a complete demonstration of the system and its source code, very powerful, the code is an example of this book,
TensorFlow+Machine+Learning+Cookbook
- Explore machine learning concepts using the latest numerical computing library — TensorFlow — with the help of this comprehensive cookbook(TensorFlow was open sourced in November of 2015 by Google, and since then it has become the most starred mach
Bayes方法基础
- 贝叶斯是无敌的,贝叶斯是万能的,贝叶斯是全知全能的(bayes is powerful ,bayes is wonderful)
Deep Learning with Python-Manning
- 深入学习Python介绍领域的深入学习使用Python语言和强大的Keras图书馆。通过keras创造者和谷歌人工智能研究者弗兰?ois Chollet写的,这本书让你了解通过直观的解释和实例。您将探索具有挑战性的概念和实践与计算机视觉,自然语言处理和生成模型的应用程序。当你完成学业的时候,你将具备在自己的项目中应用深度学习的知识和动手能力。(Deep Learning with Python introduces the field of deep learning using the Pyt
python_3.4官方入门指南中文版
- Python 是一门简单易学且功能强大的编程语言。它拥有高效的高级数据结构,并且能够用简单而又高效的方式进行面向对象编程。Python 优雅的语法和动态类型,再结合它的解释性,使其在大多数平台的许多领域成为编写脚本或开发应用程序的理想语言。(Python is a simple and powerful programming language. It has an efficient high-level data structure and can be used in object-ori
DenseNet-master
- 这篇文章是CVPR2017的oral,非常厉害。文章提出的DenseNet(Dense Convolutional Network)主要还是和ResNet及Inception网络做对比,思想上有借鉴,但却是全新的结构,网络结构并不复杂,却非常有效!众所周知,最近一两年卷积神经网络提高效果的方向,要么深(比如ResNet,解决了网络深时候的梯度消失问题)要么宽(比如GoogleNet的Inception),而作者则是从feature入手,通过对feature的极致利用达到更好的效果和更少的参数。(
Deep Learning with Python
- 本书由Keras之父、现任Google人工智能研究员的弗朗索瓦?肖莱(Fran?ois Chollet)执笔,详尽介绍了用Python和Keras进行深度学习的探索实践,涉及计算机视觉、自然语言处理、生成式模型等应用。书中包含30多个代码示例,步骤讲解详细透彻。由于本书立足于人工智能的可达性和大众化,读者无须具备机器学习相关背景知识即可展开阅读。在学习完本书后,读者将具备搭建自己的深度学习环境、建立图像识别模型、生成图像和文字等能力。(Deep Learning with Python intr
Life Changer -EA
- Life Changer-EA是众多指标、强大的交易策略和其他优秀的工具,最大的优点是离场计划,非常智能,有移动止损止盈功能,没有马丁不网格,我测试后预估月收益能达到20%左右,收益不算高但胜在稳定。(Life changer EA is a variety of indicators, powerful trading strategies and other excellent tools. Its biggest advantage is the departure plan. It is