1. Under the Standby page, click "Settings".
2. Click "Lock screen and security".
3. Click on "Iris".
4. Use the preset screen unlock mode to unlock the screen, for example, enter a mixed password, and then click Next.
(Note : If you forget the alternate password, you cannot edit the iris )
5. Click "Remove".
6. After reading the tips to remove the
Iris data is a simple and interesting data set. This data set comes from the fact that scientists have found three different subcategories of flowers on an island called Setosa,versicolor,virginica. But these three species are not very well-distinguished, so they measure different species from four angles: calyx length, calyx width, petal length, petal width, for quantitative analysis. Based on these four features, the data is a data set for multivari
classification clustering of Iris
There are several iris data, each with 4 data, sepals long (in centimeters), sepals wide (in centimeters), petal length (cm) and petal width (in cm). We hope to find a viable way to divide the iris into several classes according to the difference of 4 data per flower, so that each class is as accurate as possible in order to help
In a previous look, several Adobe Photoshop CS6 new features, followed by another Photoshop CS6 new feature, that is Iris Blur, and what is it? In short, it is designed to simulate the depth of the effect, In this way, you can simulate the effect of shallow depth of the image according to your personal preference, let you save money can also enjoy a charming shallow depth of the area, and the usage is quite simple, it is a bit like a Gaussian paste mo
Ide:jupyterNow I know the source of the data set two, one is the CSV dataset file and the other is imported from sklearn.datasets1.1 Data set in CSV format (uploaded to Blog park----DataSet. rar)1.2 Data Set Read1 " Flower.csv " 2 Import Pandas as PD 3 df = pd.read_csv (file, header=None)4 df.head (10)1.3 Results2.1 Data sets in Sklearn1 from Import Load_iris # importing DataSet Iris2 iris = Load_iris () # load DataSet 3 iris.data[:10]2.2 Readin
Installation use
Official Document Connection: Https://www.tensorflow.org/get_started/get_started_for_beginnersIn accordance with the text of the GitHub connection to download files directly GG, Hung ladder or clone do not move, helpless, had to go to that page to use the example of the py file copy came to the local, need to copy two files:
https://github.com/tensorflow/models/tree/master/samples/core/get_started/iris_data.py
https://github.com/ tensorflow/models/tree/master/samples/core/get_
The Keras has many advantages, and building a model is quick and easy, but it is recommended to understand the basic principles of neural networks.
Backend suggested using TensorFlow, much faster than Theano.
From sklearn.datasets import
example, for the classifier 3, the classification result is negative class, but the negative class has category 1, Category 2, category 43, in the end what kind of?
2.3-to-many (MvM)The so-called many-to-many is actually the multiple categories as the positive class, multiple categories as negative class. This article does not introduce this method, in detail can refer to Zhou Zhihua Watermelon book p64-p65. 3, for the above method is actually training more than two classifiers, then there is
] = Classcount.get (Voteilabel,0) +1#选择距离最小的k个点Sortedclasscount = sorted (Classcount.iteritems (), Key=operator.itemgetter (1), reverse=True)returnsortedclasscount[0][0]#排序 def createdataset():Group = Array ([[1.0,1.1],[1.0,1.0],[0,0],[0,0.1]]) labels = [' A ',' A ',' B ',' B ']returnGroup, Labelsgroup,labels=createdataset () classify0 ([0.5,0.5],group,labels,3)Output:‘B‘Case TWO:
Data Set IntroductionIris Iris DataSet, is a plant that is oft
://media.cs.tsinghua.edu.cn/cn/aihz(42) Biological identification and Safety technology Research Center of CAS: http://www.cbsr.ia.ac.cn/china/index%20CH.asp(43) Professor Thomas Vetter, University of Basel, Switzerland: Http://informatik.unibas.ch/personen/vetter_t.html(44) Dr. Rob Hess, Oregon State State University: http://blogs.oregonstate.edu/hess/(45) Associate professor, Yushi, Shenzhen University: http://yushiqi.cn/(46) Institute of Artificial Intelligence and robotics, Xi ' an Jiaotong
/china/index%20CH.asp(43) Professor Thomas Vetter, University of Basel, Switzerland: Http://informatik.unibas.ch/personen/vetter_t.html(44) Dr. Rob Hess, Oregon State State University: http://blogs.oregonstate.edu/hess/(45) Associate professor, Yushi, Shenzhen University: http://yushiqi.cn/(46) Institute of Artificial Intelligence and robotics, Xi ' an Jiaotong University: http://www.aiar.xjtu.edu.cn/(47) Carnegie Mellon University researcher Robert T. Collins:http://www.cs.cmu.edu/~rcollins/hom
://media.cs.tsinghua.edu.cn/cn/aihz(42) Biological identification and Safety technology Research Center of CAS: http://www.cbsr.ia.ac.cn/china/index%20CH.asp(43) Professor Thomas Vetter, University of Basel, Switzerland: Http://informatik.unibas.ch/personen/vetter_t.html(44) Dr. Rob Hess, Oregon State State University: http://blogs.oregonstate.edu/hess/(45) Associate professor, Yushi, Shenzhen University: http://yushiqi.cn/(46) Institute of Artificial Intelligence and robotics, Xi ' an Jiaotong
systems. For those forums that occasionally log on, you can set a simple password, and you must set it to a complex password for important information, e-mail, online banking, and so on. Never set up the same password for a forum, email, or bank account.
10. Biometric feature recognition
Biometrics refers to the identification of individuals through the computer, using the inherent physiological characteristics or behavioral characteristics of th
RNN, or the combination of both
Seamless CPU and GPU switching
?? If you want to use Keras on your computer, you need the following tools:
Python
TensorFlow
Keras
Here we choose TensorFlow as the back-end tool for Keras. Use the following Python code to output the version numbers of Python, TensorFlow, and Keras:import sysimport keras as Kimport tensorflow as tfpy_ver = sys.versionk_ver = K.__version__tf_ver = tf.__version__print("Using Python version " + str(py_v
This article focuses on the contents of the 1.2Python libraries and functions in the first chapter of the Python Machine learning Time Guide. Learn the workflow of machine learning.I. Acquisition and inspection of dataRequests getting dataPandans processing Data1 ImportOS2 ImportPandas as PD3 ImportRequests4 5PATH = R'E:/python machine learning blueprints/chap1/1.2/'6R = Requests.get ('Https://archive.ics.uci.edu/ml/machine-learning-databases/iris/iri
This article focuses on the contents of the 1.2Python libraries and functions in the first chapter of the Python machine learning time Guide. Learn the workflow of machine Learning.I. Acquisition and inspection of dataRequests getting dataPandans processing Data1 ImportOS2 ImportPandas as PD3 ImportRequests4 5PATH = R'E:/python machine learning blueprints/chap1/1.2/'6R = Requests.get ('Https://archive.ics.uci.edu/ml/machine-learning-databases/iris/iri
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