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Implementations of some Deep Learning models using tensorflow with scikit-learn like APIs

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Dear developers, I observed some TensorFlow api usage in your code that might lead to serious compatibility problems(like a crash). `tf.global_variables_initializer`,`tf.summary.merge_all` appear in tf v0.12.0-rc0 and this will induce a...

Dear developers, I found some compatibility problems in your use of TensorFlow APIs, which might lead to crashes in a low version of TensorFlow. And I fix it for you...

I installed all in requirement.txt but when i run it raise this error: TypeError: Input 'y' of 'Mul' Op has type float32 that does not match type int32 of argument...

ValueError: cannot copy sequence with size 4 to array axis with dimension 2.

I believe your inputs and labels are interchanged when you calculate the loss. Here is the corrected version ``` # Compute the loss, using a sample of the negative labels...

how can i get document's vector value such as gensim's infer_vector()