saving models and logs

.gitignore

@@ -140,4 +140,6 @@ Temporary Items
 outputs/*
 inputs/mnist
 inputs/audio*
+logs/*
+models/*
 *.pkl

speech_data.py

@@ -122,8 +122,10 @@ def create_speech_pairs_data(audio_group='audio'):
 #     print('pickled speech model data')
 
 def speech_model_data():
-    tr_pairs = np.load('outputs/tr_pairs.npy').astype(np.float32)/255.0
-    te_pairs = np.load('outputs/te_pairs.npy').astype(np.float32)/255.0
+    tr_pairs = np.load('outputs/tr_pairs.npy')/255.0
+    te_pairs = np.load('outputs/te_pairs.npy')/255.0
+    tr_pairs[tr_pairs < 0] = 0
+    te_pairs[te_pairs < 0] = 0
     tr_y = np.load('outputs/tr_y.npy')
     te_y = np.load('outputs/te_y.npy')
     return tr_pairs,te_pairs,tr_y,te_y

speech_siamese.py

@@ -120,7 +120,7 @@ tb_cb = TensorBoard(log_dir='./siamese_logs', histogram_freq=1, batch_size=32,
                     embeddings_freq=0, embeddings_layer_names=None,
                     embeddings_metadata=None)
 # train
-rms = RMSprop(lr=0.00001)  # lr=0.001)
+rms = RMSprop(lr=0.001)  # lr=0.001)
 sgd = SGD(lr=0.001)
 model.compile(loss=contrastive_loss, optimizer=rms, metrics=[accuracy])
 model.fit([tr_pairs[:, 0], tr_pairs[:, 1]], tr_y,