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This is the keynotes and demo notebook for GDG Festival 2017 Beijing Lightning Talk

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Lightning_Talk_2017

This is the demo notebook for Lightning Talk Text Classification With TensorFlow in GDG Festival 2017 Beijing .

This talk wil talk about Text Classification roughly, which referenced and was inspired by WildML, which is a very very good AI Tech blog.

I will try to use Jupyter notebook to help the beginners like me to start quickly.

Contents

Basics of Deep Learning
  • What is Deep Learning
  • Computability of Deep Learning
  • Generalization of Deep Learning
Text Classification with Low Level API of TensorFlow
  • Binary-Classification with CNN (Movie Reviews)
  • Multi-Classification with CNN (Consumer Finance Complains)
  • Binary-Classication with CNN (Chinese Book Review)
Text Classification with Keras, High Level API of TensorFlow
  • Multi-Classification with CNN
  • Multi-Classification with LSTM RNN

References

Books

http://neuralnetworksanddeeplearning.com/

Articles

Implementing a CNN for Text Classification in TensorFlow

Codes
TensorFlow

https://github.com/dennybritz/cnn-text-classification-tf

https://github.com/jiegzhan/multi-class-text-classification-cnn

https://github.com/hkhatod/multi-class-text-classification-cnn-rnn

https://github.com/indiejoseph/cnn-text-classification-tf-chinese

https://github.com/HarryHa/cnn-text-classification-tf (Chinese Text Classification)

Keras

https://github.com/fchollet/keras/tree/master/examples

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This is the keynotes and demo notebook for GDG Festival 2017 Beijing Lightning Talk

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