Input dimension mismatch error on training the model ds1 dropout

[romass12]

This is the error on running model.fit_generator with Keras(2.0.9) ,Theano(0.9.0) as backend and python version 3

ValueError: Input dimension mis-match. (input[0].shape[1] = 1, input[1].shape[1] = 16) Apply node that caused the error: Elemwise{eq,no_inplace}(training/ctc_target, Elemwise{round_half_to_even,no_inplace}.0) Toposort index: 762 Inputs types: [TensorType(float64, matrix), TensorType(float64, row)] Inputs shapes: [(16, 1), (1, 16)] Inputs strides: [(8, 8), (128, 8)] Inputs values: ['not shown', 'not shown'] Outputs clients: [[Sum{acc_dtype=int64}(Elemwise{eq,no_inplace}.0)]]

[robmsmt]

I have not tested it with Theano. If you can't try TensorFlow for whatever reason, I believe that the input dimension ordering for Theano is different so would need to be swapped. See https://datascience.stackexchange.com/questions/14467/what-does-theano-dimension-ordering-mean

If you get it to work please raise a PR!

Rob