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最近在国外网站上看到的几个神经网络相关的思维导图 包括 tensorflow && keras && Scipy && Scikit-Learn && Python for Data Science && PySpark && Pandas && Numpy && Neural Networks

2017-8-24 0phpcom keras神级网络


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 Neural Networks

Neural Networks Graphs

Neural Network Cheat Sheet


Neural Network Cheat Sheet


Machine Learning Overview

Machine Learning Overview


Machine Learning: Scikit-learn algorithm

This machine learning cheat sheet will help you find the right estimator for the job which is the most difficult part. The flowchart will help you check the documentation and rough guide of each estimator that will help you to know more about the problems and how to solve it.

机器学习:scikit学习算法这种机器学习作弊表将帮助你找到工作,这是最困难的部分正确的估计。流程图将帮助您检查每个估计量的文档和粗略指导,这将有助于您更好地了解问题以及如何解决问题。



Machine Learning Overview


Scikit-Learn

Scikit-learn (formerly scikits.learn) is a free software machine learninglibrary for the Python programming language. It features various classificationregression and clustering algorithms including support vector machinesrandom forestsgradient boostingk-means and DBSCAN, and is designed to interoperate with the Python numerical and scientific libraries NumPy and SciPy.


scikit学习

scikit学会(原scikits。学习)是Python编程语言的一个免费软件,机器学习库。它有各种的分类,回归和算法,包括支持向量机、随机森林、梯度聚类、k-均值和DBSCAN算法,并设计与Python的数值和科学图书馆NumPy、SciPy互操作。

Scikit-Learn



MACHINE LEARNING : ALGORITHM CHEAT SHEET

This machine learning cheat sheet from Microsoft Azure will help you choose the appropriate machine learning algorithms for your predictive analytics solution. First, the cheat sheet will asks you about the data nature and then suggests the best algorithm for the job.
机器学习算法 :欺骗 表


这台机器学习作弊表从微软Azure将帮助您选择适当的机器学习算法为您的预测分析解决方案。首先,作弊表会问你关于数据的性质并提出这项工作的最佳方法。

Scikit-Learn



Python for Data Science

Python for Data Science


                                Python Data Science Cheat Sheet


TensorFlow

谷歌在2017年5月宣布的TPU的第二代,以及谷歌提供的TPUs计算引擎。[ 12 ]第二代TPUs提供高达180万亿次浮点运算的性能,而当组织成64个集群提供高达每秒11.5千万亿次。


TensorFlow


Keras

2017、谷歌的tensorflow团队决定支持Keras in TensorFlow的核心库。Chollet解释说,Keras被认为是一个接口而不是一个端到端的机器学习框架。


它提供了一个更高层次、更直观的抽象集合,使得无论后端科学计算库如何配置神经网络都很容易。

keras 思维导图


Numpy

NumPy targets the CPython reference implementation of Python, which is a non-optimizing bytecode interpreter. Mathematical algorithms written for this version of Python often run much slower than compiled equivalents. NumPy address the slowness problem partly by providing multidimensional arrays and functions and operators that operate efficiently on arrays, requiring rewriting some code, mostly inner loops using NumPy.

NumPy目标Python CPython的参考实现,这是一个非优化字节码解释器。数学算法写的这个版本的Python通常比编译等价物慢得多。


NumPy解决缓慢的问题部分是由提供多维数组、函数和运算符,有效运作的数组,需要重写部分代码,主要是内循环使用numpy。

numpy 思维导图

Pandas

The name ‘Pandas’ is derived from the term “panel data”, an econometricsterm for multidimensional structured data sets.


“熊猫”这个名字来源于“面板数据”这一术语,它是多维结构数据集的计量经济学术语。


pandas 思维导图

Data Wrangling

The term “data wrangler” is starting to infiltrate pop culture. In the 2017 movie Kong: Skull Island, one of the characters, played by actor Marc Evan Jackson is introduced as “Steve Woodward, our data wrangler”.



Data WrangLing 思维导图



Data Wrangling with dplyr and tidyr





Scipy

SciPy builds on the NumPy array object and is part of the NumPy stack which includes tools like Matplotlibpandas and SymPy, and an expanding set of scientific computing libraries. This NumPy stack has similar users to other applications such as MATLABGNU Octave, and Scilab. The NumPy stack is also sometimes referred to as the SciPy stack.[3]

SciPy建立在NumPy数组对象是对NumPy堆栈包括工具如Matplotlib、熊猫和sympy,和不断扩大的科学计算库。这堆类似NumPy用户向其他应用程序如Matlab和Scilab,GNU Octave。的NumPy堆栈有时也简称SciPy堆栈。[ 3 ]

scipy 思维导图


Matplotlib

matplotlib is a plotting library for the Python programming language and its numerical mathematics extension NumPy. It provides an object-orientedAPI for embedding plots into applications using general-purpose GUI toolkitslike TkinterwxPythonQt, or GTK+. There is also a procedural “pylab” interface based on a state machine (like OpenGL), designed to closely resemble that of MATLAB, though its use is discouraged.[2] SciPy makes use of matplotlib.

pyplot is a matplotlib module which provides a MATLAB-like interface.[6]matplotlib is designed to be as usable as MATLAB, with the ability to use Python, with the advantage that it is free.

Matplotlib 是一个 Python 的 2D绘图库,它以各种硬拷贝格式和跨平台的交互式环境生成出版质量级别的图形。

Matplotlib

Data Visualization



                                                                                                Data Visualization Cheat Sheet

PySpark

pyspark

Big-O

Big-O

Big-O Algorithm Cheat Sheet





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