(‘train shape:’, (177, 1, 14, 100))
(‘valid shape:’, (177, 1, 14, 100))
(‘sentence max words’, 14)
(‘embedding size’, 100)
(‘vocab size’, -1)
The above data represents the shape of my data. I have reshaped it like this
x = np.reshape(x, (x.shape[0], 1, x.shape[1], x.shape[2]))
when i run my model.fit I am getting the following error :
RuntimeError: simple_bind error. Arguments:
data: (2, 1L, 14L, 100L)
softmax_label: (2, 1L)
Error in operator reshape0: [17:40:34] src/operator/tensor/./matrix_op-inl.h:182: Check failed: oshape.Size() == dshape.Size() Target shape size is different to source. Target: 1200
Source: 600
Any idea how to solve this error