That solved part of the issue, thanks

[DylanJosue]

          That solved part of the issue, thanks

However now I run into this problem:
`=========
Total params: 2,248
Trainable params: 2,248
Non-trainable params: 0

---

Traceback (most recent call last):
File "model.py", line 300, in
main(depth, train_mode)
File "model.py", line 277, in main
model = create_network(depth)
File "model.py", line 29, in create_network
model.load_weights(str(artist + ".rap"))
File "/usr/local/lib/python2.7/dist-packages/keras/engine/topology.py", line 2708, in load_weights
self.load_weights_from_hdf5_group(f)
File "/usr/local/lib/python2.7/dist-packages/keras/engine/topology.py", line 2781, in load_weights_from_hdf5_group
' elements.')
ValueError: Layer #0 (named "lstm_1" in the current model) was found to correspond to layer lstm_1 in the save file. However the new layer lstm_1 expects 12 weights, but the saved weights have 3 elements.

Originally posted by @littlevoices in #20 (comment)