如何在TensorFlow RNN中提供数据？

Question

Here is my data format: 100x20, 20 feature and 100 rows, and this is the tensorflow RNN input data format:

x = tf.placeholder(tf.float32, [batch_size, step_size, input_size], name='input_placeholder')

I know input_size=20, I want Truncated Backpropagation is n step, and feed one rows once. So how to set batch_size and step_size? Is that step_size=n?

Thanks for your answer.

Answer 1

I am not clear what your data is. Do you mean,it is 100 rows,each row for a sample with 20 features?

Or each sample have 20 features for 100 times, the dataset contains N samples : N * 100 *20?

For the 1st case, you should reshape 20 features as step_size*input_size.for example:

X.reshape(-1,4,5)

For the 2nd case

X.reshape(-1,100,20)