Hi,
Thanks for putting this wonderful tutorial. For beginner of tensorflow, this is extremely helpful.
In RNN, one thing I'm not understanding one thing. Why we are using timesteps in the following placeholder?
X = tf.placeholder("float", [None, timesteps, num_input])
We could just have used:
X = tf.placeholder("float", [None, num_steps]),
where None represents the bact_size or data_size and num_steps represents the "how far RNN is looking into past". Similarly, I'm not getting the usage of num_input.
It will be great if you help me understand the parameters. Or can guide me to some tutorial, which explains usage of timesteps and num_inputs.
Hi, Thanks for putting this wonderful tutorial. For beginner of tensorflow, this is extremely helpful.
In RNN, one thing I'm not understanding one thing. Why we are using
timesteps
in the following placeholder?X = tf.placeholder("float", [None, timesteps, num_input])
We could just have used:
X = tf.placeholder("float", [None, num_steps])
,where
None
represents the bact_size or data_size andnum_steps
represents the "how far RNN is looking into past". Similarly, I'm not getting the usage ofnum_input
.It will be great if you help me understand the parameters. Or can guide me to some tutorial, which explains usage of
timesteps
andnum_inputs
.Thanks!