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Hi, Do you make mistake here: q = sess.run(model.q, feed_dict={model.ae.input_: data.train_x, model.ae.input_batch_size: data.train_x.shape[0], model.ae.keep_prob: 1.0}) #2

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JackerGao opened this issue Aug 5, 2019 · 0 comments
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Hi, Do you make mistake here: q = sess.run(model.q, feed_dict={model.ae.input_: data.train_x, model.ae.input_batch_size: data.train_x.shape[0], model.ae.keep_prob: 1.0}) #2

JackerGao opened this issue Aug 5, 2019 · 0 comments

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@JackerGao
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q = sess.run(model.q, feed_dict={model.ae.input_: data.train_x, model.ae.input_batch_size: data.train_x.shape[0], model.ae.keep_prob: 1.0})， In my opinion, model.ae.input_ should the embedding vector, But here, it is train_x(original dataset). Thanks for your advice.
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@JackerGao