From 60790784a44cb63fba3f3953d1b1655883975d4c Mon Sep 17 00:00:00 2001
From: Jean-Marc Valin <jmvalin@jmvalin.ca>
Date: Thu, 11 Apr 2019 11:06:37 -0400
Subject: [PATCH] training
---
dnn/train_lpcnet.py | 3 ++-
1 file changed, 2 insertions(+), 1 deletion(-)
diff --git a/dnn/train_lpcnet.py b/dnn/train_lpcnet.py
index 0b5e0ba25..4c0cdfa3c 100755
--- a/dnn/train_lpcnet.py
+++ b/dnn/train_lpcnet.py
@@ -103,7 +103,7 @@ del pred
del in_exc
# dump models to disk as we go
-checkpoint = ModelCheckpoint('lpcnet24g_384_10_G16_{epoch:02d}.h5')
+checkpoint = ModelCheckpoint('lpcnet30_384_10_G16_{epoch:02d}.h5')
#Set this to True to adapt an existing model (e.g. on new data)
adaptation = False
@@ -121,4 +121,5 @@ else:
decay = 5e-5
model.compile(optimizer=Adam(lr, amsgrad=True, decay=decay), loss='sparse_categorical_crossentropy')
+model.save_weights('lpcnet30_384_10_G16_00.h5');
model.fit([in_data, features, periods], out_exc, batch_size=batch_size, epochs=nb_epochs, validation_split=0.0, callbacks=[checkpoint, sparsify])
--
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