multi-class-text-classification-cnn-rnn

multi-class-text-classification-cnn-rnn

jiegzhan

Classify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.

tensorflow
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599 Stars
263 Forks
599 Watchers
Python Language
apache-2.0 License
Cost to Build
$8.13M
Market Value
$30.07M
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Growth over time

7 data points  ·  2021-08-01 → 2025-07-01
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What is the jiegzhan/multi-class-text-classification-cnn-rnn GitHub project? Description: "Classify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.

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