titanic_dnn1.py

>>> classifier = learn.DNNClassifier(hidden_units=[10, 20, 10],
...    n_classes=2,
...    feature_columns=learn.infer_real_valued_columns_from_input(X_train),
...    optimizer=tf.train.GradientDescentOptimizer(learning_rate=0.05))
>>> classifier.fit(X_train, y_train, batch_size=128, steps=500)
>>> score = accuracy_score(classifier.predict(X_test), y_test)
>>> print("Accuracy: %f" % score)
Accuracy: 0.67597765363