mirror of
https://github.com/hastagAB/Awesome-Python-Scripts.git
synced 2024-11-24 04:21:08 +00:00
24 lines
890 B
Python
24 lines
890 B
Python
#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)) |