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Deep Text Classifier (view source)
Revision as of 13:47, 21 September 2020
, 13:47, 21 September 2020no edit summary
{{Project
|Has project output=Tool
|Has sponsor=McNair Center
|Has title=Deep Text Classifier
|Has owner=Yang Zhang,
|Has start date=September 2017
|Has keywords=Tool
|Has project status=Active
|Does subsume=Industry Classifier,
}}
=Deep Text Classifier=
E:\McNair\Projects\Deep Text Classifier
==Problem Description==
==Model Training/Prediction==
We write in [https://www.tensorflow.org/ Tensorflow] for all the deep neural networksclassifiers. [https://keras.io/ Keras] is a good wrapper over the Tensorflow framework to allow you quickly build up a neural network and train it. If ( if you are new to deep learning Deep Learning and Tensorflow, please do stay with Keras.) * '''Embedding''' [https://keras.io/layers/embeddings/ Keras Official Documentation] [https://www.tensorflow.org/tutorials/word2vec Tensorflow : Vector Representations of Words] [https://en.wikipedia.org/wiki/Word2vec Wiki : Word2vec] * '''LSTM''' [http://colah.github.io/posts/2015-08-Understanding-LSTMs/ A Nice Blog about LSTM] [https://www.tensorflow.org/tutorials/recurrent Tensorflow : Recurrent Neural Networks] [https://keras.io/layers/recurrent/ Keras Official Documentation]
==General Guidelines for Tuning the Hyper-ParametersSummer 2018 Work==Code, data, and attempts to run are located in: E:
