fangpengzhan
commented
5 years ago 您好，已找到问题，具体如下：
将train.py 123行改成 y = np.random.uniform(size=(x.shape[0], 512))
然后已经可以正常训练，期待训练的结果，再次感谢您！
Closed fangpengzhan closed 5 years ago
fangpengzhan
commented
5 years ago 您好，已找到问题，具体如下：
将train.py 123行改成 y = np.random.uniform(size=(x.shape[0], 512))
然后已经可以正常训练，期待训练的结果，再次感谢您！
Walleclipse
commented
5 years ago 好的 谢谢！ 我也学到了
您好，最近我在研究您的这个deep speaker程序，准备用中文语料来训练，在完成pre_process后，训练train时，出现如下错误： forward process time 9.14s beginning to select.......... select best batch time 0.0675s select_batch_time: 9.400545120239258 2019-02-21 20:00:51,647 [INFO] train.py/main | == Presenting step #0 Traceback (most recent call last): File "train.py", line 182, in
main()
File "train.py", line 126, in main
loss = model.train_on_batch(x, y)
File "/anaconda3/lib/python3.5/site-packages/keras/engine/training.py", line 1808, in train_on_batch
check_batch_axis=True)
File "/anaconda3/lib/python3.5/site-packages/keras/engine/training.py", line 1411, in _standardize_user_data
exception_prefix='target')
File "/anaconda3/lib/python3.5/site-packages/keras/engine/training.py", line 153, in _standardize_input_data
str(array.shape))
ValueError: Error when checking target: expected ln to have shape (None, 512) but got array with shape (96, 1)
找了半天，没发现原因，请教下需要怎么处理，期待您的回复~