Computer Vision with Python 3 by Saurabh Kapur

Author:Saurabh Kapur [Kapur, Saurabh]
Language: eng
Format: azw3, epub, pdf
Tags: COM012050 - COMPUTERS / Image Processing, COM051360 - COMPUTERS / Programming Languages / Python, COM044000 - COMPUTERS / Neural Networks
Publisher: Packt Publishing
Published: 2017-08-24T04:00:00+00:00

mnist = datasets.load_digits()

images = mnist.images

data_size = len(images)

#Preprocessing images

images = images.reshape(len(images), -1)

labels = mnist.target

#Initialize Support Vector Machine

SVM_classifier = svm.SVC(gamma=0.001)

#Training the data on only 75% of the dataset. Rest of the 25% will be used in testing the

Support Vector Machine

SVM_classifier.fit(images[:int((data_size / 4) * 3)], labels[:int((data_size / 4) * 3)])

#Testing the data

predictions = SVM_classifier.predict(images[int((data_size / 4)):])

target = labels[int((data_size/4)):]

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