Auto accuracy

Author: vanpelt

keras-transfer/dogcat-bottleneck.py

@@ -87,7 +87,7 @@ def train_top_model():
     model.add(Dense(1, activation='sigmoid'))
 
     model.compile(optimizer='rmsprop',
-                  loss='binary_crossentropy', metrics=['binary_accuracy'])
+                  loss='binary_crossentropy', metrics=['accuracy'])
 
     class Images(Callback):
         def on_epoch_end(self, epoch, logs):

keras-transfer/dogcat-transfer-resnet.py

@@ -35,7 +35,7 @@
 # and a very slow learning rate.
 model.compile(loss='binary_crossentropy',
               optimizer=optimizers.SGD(lr=1e-4, momentum=0.9),
-              metrics=['binary_accuracy'])
+              metrics=['accuracy'])
 
 train_dir = "dogcat-data/train"
 val_dir = "dogcat-data/validation"