{"id":4071,"date":"2020-11-11T10:21:39","date_gmt":"2020-11-11T10:21:39","guid":{"rendered":"http:\/\/onlineclassesguru.com\/?p=4071"},"modified":"2020-11-11T10:21:39","modified_gmt":"2020-11-11T10:21:39","slug":"neural-network-implementation","status":"publish","type":"post","link":"https:\/\/onlineclassesguru.com\/index.php\/2020\/11\/11\/neural-network-implementation\/","title":{"rendered":"Neural Network Implementation"},"content":{"rendered":"<style type=\"text\/css\"><\/style><p>{ \u201ccells\u201d: [ { \u201ccell_type\u201d: \u201cmarkdown\u201d, \u201cmetadata\u201d: {}, \u201csource\u201d: [ \u201c### Lecture 13: Neural Network Implementation\u201d ] }, { \u201ccell_type\u201d: \u201ccode\u201d, \u201cexecution_count\u201d: 1, \u201cmetadata\u201d: {}, \u201coutputs\u201d: [ { \u201cname\u201d: \u201cstderr\u201d, \u201coutput_type\u201d: \u201cstream\u201d, \u201ctext\u201d: [ \u201cUsing TensorFlow backend.n\u201d ] } ], \u201csource\u201d: [ \u201cimport pandas as pdn\u201d, \u201cimport numpy as npn\u201d, \u201cfrom matplotlib import pyplot as pltn\u201d, \u201cimport kerasn\u201d, \u201cfrom sklearn.model_selection import train_test_split\u201d ] }, { \u201ccell_type\u201d: \u201ccode\u201d, \u201cexecution_count\u201d: 2, \u201cmetadata\u201d: {}, \u201coutputs\u201d: [ { \u201cdata\u201d: { \u201cimage\/png\u201d: 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\u201d, \u201ctext\/plain\u201d: [ \u201c<\/p>\n<figure>\u201d ] }, \u201cmetadata\u201d: { \u201cneeds_background\u201d: \u201clight\u201d }, \u201coutput_type\u201d: \u201cdisplay_data\u201d }, { \u201cname\u201d: \u201cstdout\u201d, \u201coutput_type\u201d: \u201cstream\u201d, \u201ctext\u201d: [ \u201cTraining data: (60000, 784) and targets: (60000,)n\u201d, \u201cTest data: (10000, 784) and test targets: (10000,)n\u201d ] } ], \u201csource\u201d: [ \u201cdef load_wine():n\u201d, \u201d df=pd.read_csv(\u2018winequality-white.csv\u2019, sep = \u2018;\u2019)n\u201d, \u201d X = df.values[:, :11]n\u201d, \u201d Y = df.values[:, 11]n\u201d, \u201cn\u201d, \u201d # data normalizationn\u201d, \u201d min_vals = np.min(X, axis = 0)n\u201d, \u201d max_vals = np.max(X, axis = 0)n\u201d, \u201d X1 = (X-min_vals)\/(max_vals-min_vals)n\u201d, \u201d n\u201d, \u201d rs = 0 # seed to make your results reproducibilen\u201d, \u201d x_train, x_test, y_train, y_test = train_test_split(X1, Y, test_size = 0.3, random_state = rs)n\u201d, \u201d n\u201d, \u201d return x_train, y_train, x_test, y_testn\u201d, \u201cn\u201d, \u201cdef load_digits(show_sample = True):n\u201d, \u201d (x_train, y_train), (x_test, y_test) = keras.datasets.mnist.load_data()n\u201d, \u201d n\u201d, \u201d #show first 100 imagesn\u201d, \u201d if show_sample == True:n\u201d, \u201d nImg = 4n\u201d, \u201d for i in range(nImg*nImg):n\u201d, \u201d plt.subplot(nImg, nImg, i+1)n\u201d, \u201d plt.imshow(x_train[i], cmap = \u2018Greys_r\u2019)n\u201d, \u201d plt.show()n\u201d, \u201d n\u201d, \u201d x_train_1 = np.reshape(x_train, [x_train.shape[0], x_train.shape[1] * x_train.shape[2]])n\u201d, \u201d x_test_1 = np.reshape(x_test, [x_test.shape[0], x_test.shape[1] * x_test.shape[2]])n\u201d, \u201cn\u201d, \u201d #2. data normalizationn\u201d, \u201d min_vals = np.min(x_train_1, axis = 0)n\u201d, \u201d max_vals = np.max(x_train_1, axis = 0)n\u201d, \u201d x_train_2 = x_train_1\/255n\u201d, \u201d x_test_2 = x_test_1\/255n\u201d, \u201d n\u201d, \u201d print(\u2018Training data: {} and targets: {}\u2019.format(x_train_2.shape, y_train.shape))n\u201d, \u201d print(\u2018Test data: {} and test targets: {}\u2019.format(x_test_2.shape, y_test.shape))n\u201d, \u201d n\u201d, \u201d return x_train_2, y_train, x_test_2, y_testn\u201d, \u201cn\u201d, \u201c# x_train, y_train, x_test, y_test = load_wine()n\u201d, \u201cx_train, y_train, x_test, y_test = load_digits(show_sample = True)\u201d ] }, { \u201ccell_type\u201d: \u201ccode\u201d, \u201cexecution_count\u201d: 3, \u201cmetadata\u201d: {}, \u201coutputs\u201d: [], \u201csource\u201d: [ \u201c## activation functionsn\u201d, \u201cdef sigm(z):n\u201d, \u201d return 1\/(1 + np.exp(-z))n\u201d, \u201cn\u201d, \u201cdef dsigm(z):n\u201d, \u201d return sigm(z)*(1 \u2013 sigm(z))n\u201d ] }, { \u201ccell_type\u201d: \u201ccode\u201d, \u201cexecution_count\u201d: 4, \u201cmetadata\u201d: {}, \u201coutputs\u201d: [ { \u201cname\u201d: \u201cstdout\u201d, \u201coutput_type\u201d: \u201cstream\u201d, \u201ctext\u201d: [ \u201cOutput of the first layer:rn\u201d, \u201d [[6.52529028e-05 9.99977929e-01 5.39154564e-01 2.61769599e-02n\u201d, \u201d 2.61002391e-08 4.60213951e-06 9.94881395e-01 1.41433547e-01n\u201d, \u201d 9.99997578e-01 8.93925131e-01]]n\u201d, \u201cOutput of the second layer:rn\u201d, \u201d [[0.89791356 0.94658347 0.98139218 0.64202137 0.00532808]]n\u201d ] } ], \u201csource\u201d: [ \u201cclass Layer:n\u201d, \u201d \u201c\u201d\u201d\u201d\u201d Regular densely-connected NN layern\u201d\u201d<\/figure>\n<p><center><a href=\"http:\/\/onlineclassesguru.com\/orders\/ordernow\"><img decoding=\"async\" src=\"https:\/\/encrypted-tbn0.gstatic.com\/images?q=tbn:ANd9GcTyj99p60XCLyLk1htB7-1neRt8-2QdnenNlQ&usqp=CAU\"target=\"_http:\/\/onlineclassesguru.com\/orders\/ordernow\"\/><\/center><p>","protected":false},"excerpt":{"rendered":"<p>{ \u201ccells\u201d: [ { \u201ccell_type\u201d: \u201cmarkdown\u201d, \u201cmetadata\u201d: {}, \u201csource\u201d: [ \u201c### Lecture 13: Neural Network Implementation\u201d ] }, { \u201ccell_type\u201d: \u201ccode\u201d, \u201cexecution_count\u201d: 1, \u201cmetadata\u201d: {}, \u201coutputs\u201d: [ { \u201cname\u201d: \u201cstderr\u201d, \u201coutput_type\u201d: \u201cstream\u201d, \u201ctext\u201d: [ \u201cUsing TensorFlow backend.n\u201d ] } ], \u201csource\u201d: [ \u201cimport pandas as pdn\u201d, \u201cimport numpy as npn\u201d, \u201cfrom matplotlib import pyplot as&#8230;<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-4071","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v17.0 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Neural Network 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