Tensorflow And Word Embeddings - Typeerror: Unhashable Type: 'numpy.ndarray'
I wish to modify the code at http://www.brightideasinanalytics.com/rnn-pretrained-word-vectors/, which is about predicting the next word, to have code that predicts answers to ques
Solution 1:
The problem occurs here: y: tf.nn.embedding_lookup(W, y)
. The feed_dict
keys should be placeholders from the TensorFlow graph. Assuming that y
is a numpy.ndarray
containing the target values, you could define a tf.placeholder y_
to feed the target values into the network, changing the corresponding entry of feed_dict
to y_: tf.nn.embedding_lookup(W, y)
and modifying the other tensors accordingly (i.e. use tensor y_
to compute the loss).
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