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Code is run on CPU;
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Implemented in Jupyter Notebook (Python 3.6);
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NLP Classification problem;
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1D ConvNet model;
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Keras Functional API;
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Code is based on the fast.ai MOOC, but used IMDb Keras dataset directly and has own prediction function to print out results:
- GloVe pretrained word embeddings;
- Accuracy (on test set): 0.8937.
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Sentiment analysis Convolutional Neural Network with Keras Functional API on IMDb dataset using GloVe pretrained word embeddings
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