update

2 files changed, 2 insertions, 3 deletions

diff --git a/dlstuff/four.py b/dlstuff/four.py
index 983386a..90f58b9 100755
--- a/dlstuff/four.py
+++ b/dlstuff/four.py
@@ -1,4 +1,4 @@
-#!/usr/bin/python3
+#!python
 # _*_ coding=utf-8 _*_
 
 import argparse
@@ -48,6 +48,7 @@ def premain(argparser):
     signal.signal(signal.SIGINT, SigHandler_SIGINT)
     #here
     (train_data, train_targets), (test_data, test_targets) = boston_housing.load_data()
+    print(type(train_data))
     mean = train_data.mean(axis=0)
     train_data -= mean
     std = train_data.std(axis=0)
diff --git a/dlstuff/two.py b/dlstuff/two.py
index 8287708..1d4a614 100755
--- a/dlstuff/two.py
+++ b/dlstuff/two.py
@@ -66,14 +66,12 @@ def premain(argparser):
     x_test = vectorize_sequences(test_data)
     y_train = np.asarray(train_labels).astype("float32")
     y_test = np.asarray(test_labels).astype("float32")
-
     model = models.Sequential()
     model.add(layers.Dense(16, kernel_regularizer=regularizers.l2(0.001), activation="relu", input_shape=(10000,)))
     model.add(layers.Dropout(0.5))
     model.add(layers.Dense(16, kernel_regularizer=regularizers.l2(0.001), activation="relu"))
     model.add(layers.Dropout(0.5))
     model.add(layers.Dense(1, activation="sigmoid"))
-
     x_val = x_train[:10000]
     partial_x_train = x_train[10000:]
     y_val = y_train[:10000]