Merge pull request #12 from hastagAB/revert-5-master

Revert "handwriting recognizer and location tracker"

Handwriting_Recognizer_DNN_classifier.py

@@ -1,24 +0,0 @@
-#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))

location_using_ip_address.py

@@ -1,3 +0,0 @@
-import geocoder
-g = geocoder.ipinfo('me')
-print(g.latlng)

locator.py

@@ -1,5 +0,0 @@
-import geocoder
-t=input("enter the location:")
-g = geocoder.arcgis(t)
-print(g.latlng)
-