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TensorFlow 0.9 implementation of BasicRNNCell based on hunkim's tutorial
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@goddoe

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commented Sep 12, 2016

4 번째 셀에
x_data = np.array([[1,0,0,0], # h
[0,1,0,0], # e
[0,0,1,0], # l
[0,0,0,1]], # l 이부분이 잘못된 것같습니다 [0,0,1,0] 로 되어야하지 않을까요
dtype = 'f')

@j-min

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commented Sep 30, 2016

@goddoe 수정했습니다. 지적해주셔서 감사합니다!

@ichae

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commented May 12, 2017

좋은 예제 감사합니다. 위 예제를 버전 1.0에서 실행하기 위해서는 링크된 글을 참고하시길 바랍니다.

@sys505moon

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commented May 13, 2017

위에 모든분들 너무나 감사합니다. 혼자 실습중인데 너무나 오류나서 힘들어하고 있었는데 1.0버젼에 맞춰서 코딩수정까지 자료가 있으니 너무나 힘이 됩니다 ! 감사합니다 !

@jwon0615

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commented Oct 28, 2017

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.

@pbj0812

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commented Oct 1, 2018

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.

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