TensorFlow 0.9 implementation of BasicRNNCell based on hunkim's tutorial

RNN_hunkim's_tutorial_BasicRNNCell.ipynb

tensor flow 1.3이상 버전에서는
In [17]을

# Launch the graph in a session
init = tf.global_variables_initializer()

with tf.Session() as sess:
    sess.run(init)
    for i in range(100):
        sess.run(train_op, )
        result = sess.run(tf.argmax(logits, axis=1))
        print(result, [char_rdic[t] for t in result])

로 해야 작동됩니다.

1.8.0. 버전에서
[10]

x_split = tf.split(0, len(char_dic), x_data) 을
x_split = tf.split(x_data, len(char_dic), 0) 

으로 해야 돌아갑니다.

https://github.com/pbj0812/deep_learning/blob/master/sungkim/sungkim_tutorial_BasicRNNCell_v_1_8_0.ipynb

1.8.0에 맞게 수정해서 올렸습니다.