one-padding in dynamic_rnn.ipynb

[王嘉楠]

Hi,
Thanks for your excelent tutorial! I learned a lot from your code and the post.

One question is

tf.reset_default_graph()

# Create input data
X = np.random.randn(2, 10, 8)

# The second example is of length 6 
X[1,6,:] = 0
X_lengths = [10, 6]

The second example is of length 6. So I think if there is X[1, 6:] = 0 rather than X[1, 6, :] = 0?

[Denny Britz]

You're right, thanks for pointing it out! I fixed it in e74d438