I am building a CNN+RNN model for speech recognition. But it seems a lot problems with MXNet's rnn API?
I followed the rnn example and trained my network finally after someone's help.
But when it comes to the predict step, some issues occur:
Here are my codes:

x = mx.io.NDArrayIter(data=Pxxs_arr, label=None, batch_size=10, shuffle=False, last_batch_handle='pad')
pred = self.model.predict(x)

hint: Pxx.shape = (10, 1, x, y)
(batch_size, chnnel, w, h)

Then:
Process finished with exit code 139 (interrupted by signal 11: SIGSEGV)

Since My codes is work pretty well in my single cnn network experienments:
pred = self.model.predict(Pxx)

hint: Pxx is a numpy array with shape(1, 1, x, y)

So, what's the true skills of MXNet's RNN API?

Hi！

I got good result from the training model on the MNIST dataset. But when I'm trying to test my own hand writing numbers, I find that the code given in the tutorial doesn't seem to work. There are no error reported, but the program quits without an Ipython window showing up as expected.

Did anyone know a fix to this problem?

Hi,

I'm getting an error running the deep3d tutorial. I get a SoftmaxActivation error - cannot find argument.

Can someone help with this?
thanks

edit: its all good, working now.

As the title.

1. mx.model.Feedforward is deprecated