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Revert "handwriting recognizer and location tracker"

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Ayush Bhardwaj 2018-10-03 12:00:31 +05:30 committed by GitHub
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commit a84ef32428
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Handwriting_Recognizer_DNN_classifier.py
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#Importing Libraries
import numpy as np
import tensorflow as tf
import tensorflow.contrib.learn as learn
import tensorflow.contrib.metrics as metrics
#Importing Dataset
mnist = learn.datasets.load_dataset('mnist')
#Training Datasets
data = mnist.train.images
labels = np.asarray(mnist.train.labels, dtype=np.int32)
test_data = mnist.test.images
test_labels = np.asarray(mnist.test.labels, dtype=np.int32)
feature_columns = learn.infer_real_valued_columns_from_input(data)
#Applying Classifiers
classifier = learn.DNNClassifier(feature_columns=feature_columns, n_classes=10,hidden_units=[1024,512,256])
classifier.fit(data, labels, batch_size=100, steps=1000)
#Evaluating the Results
classifier.evaluate(test_data, test_labels)
accuracy_score = classifier.evaluate(test_data, test_labels)["accuracy"]
print('Accuracy: {0:f}'.format(accuracy_score))

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location_using_ip_address.py
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import geocoder
g = geocoder.ipinfo('me')
print(g.latlng)

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locator.py
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import geocoder
t=input("enter the location:")
g = geocoder.arcgis(t)
print(g.latlng)