After reading the Andrew Ng‘ s deep learing videos, I try to make a logistic regression model all by myself. This models is very easy in machine learning, and i made it with python. But i failed made it , because i get a bad predict rate and i don’t know why. After that i r...
numpy是使用Python进行科学计算的基础包。 h5pyPython提供读取HDF5二进制数据格式文件的接口,本次的训练及测试图片集是以HDF5储存的。 matplotlib是Python中著名的绘图库。 PIL(Python Image Library) 为 Python提供图像处理功能。 scipy基于NumPy来做高等数学、信号处理、优化、统计和许多其它科学任务的拓展库。 importnum...
Neural Networks and Deep Learning(week2)Logistic Regression with a Neural Network mindset(实现一个图像识别算法) 1 - Packages(导入包,加载数据集) 其中,用到的Python包有: scipy importnumpy as npimportmatplotlib.pyplot as pltimporth5pyimportscipyfromPILimportImagefromscipyimportndimagefromlr_utilsimportloa...
plot_decision_boundary(lambda x: clf.predict(x), X, Y.reshape(X[0, :].shape)) plt.title("Logistic Regression") plt.show() # Print accuracy LR_predictions = clf.predict(X.T) print('Accuracy of logistic regression:%d ' % float((np.dot(Y, LR_predictions) + np.dot(1 - Y, 1 -...
癌症诊断机器学习之回归树(Regression Trees) MachineLearning 8. 癌症诊断机器学习之随机森林(Random Forest) MachineLearning 9. 癌症诊断机器学习之梯度提升算法(Gradient Boosting) MachineLearning 10. 癌症诊断机器学习之神经网络(Neural network) MachineLearning 11. 机器学习之随机森林生存分析(randomForestSRC) ...
第二周编程作业 -Logistic Regression with a Neural Network mindsetLogistic Regression with a Neural Network 神经网络python Logistic Regression with a Neural Network mindset Welcome to your first (required) programming assignment! You will build a logistic regression classifier to recognize cats. This as...
> python seeds_dnn.py Das Ziel des Demoprogramms ist es, ein Deep Neural Network zu schaffen, das die Weizensaatgutsorte vorhersagen kann. Hinter den Kulissen verwendet das Demoprogramm einen Satz von Trainingsdaten, der folgendermaßen aussieht: ...
This article assumes you have a basic understanding of the neural network input-output mechanism and at least intermediate level programming skills. The demo program is coded using C# but you shouldn’t have too much trouble refactoring the demo to another language such as Python or Java if ...
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二者的相同在于deep learning采用了神经网络相似的分层结构,系统由包括输入层、隐层(多层)、输出层组成的多层网络,只有相邻层节点之间有连接,同一层以及跨层节点之间相互无连接,每一层可以看作是一个logistic regression模型;这种分层结构,是比较接近人类大脑的结构的。