input shape of dataset in cnn

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input shape of dataset in cnn



My dataset is a simple table of 20 columns and 100,000 rows.It is not a image data as commonly used in CNN.
What input shape should I provide in this case?



Right now I did-


input_shape = (21,109713,1)
model.add(Conv2D(32, kernel_size=(5, 5), strides=(1, 1),
activation='relu',
input_shape=input_shape))



which gives the error-


ValueError: rng_mrg cpu-implementation does not support more than (2**31 -1) samples





Try giving the shape as (109713,21,1)
– Hari Krishnan
3 mins ago









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