X = tf.placeholder(tf.float32, [None, n_step, n_class]) # [batch_size, n_step, n_class]
Y = tf.placeholder(tf.float32, [None, n_class])
to guess next missing character
How I can customize them to guess more than 1 character ? I don't have any idea about multiplies a tensor by tensor.
In outputs, states = tf.nn.dynamic_rnn(cell, X, dtype=tf.float32)
Why the shape of states alway (2,), what really 2 mean ?
Thank you for sharing the information.
In Autocomplete We already have
to guess next missing character
outputs, states = tf.nn.dynamic_rnn(cell, X, dtype=tf.float32)
Why the shape of states alway (2,), what really 2 mean ? Thank you for sharing the information.