TensorFlow 1.x Deep Learning Cookbook

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The paper Convolutional Neural Networks for Sentence Classification, Yoon Kim, EMNLP 2014 (https://arxiv.org/abs/1408.5882) performs an extensive set of experiments. Despite little tuning of hyperparameters, a simple CNN with one layer of convolution performs remarkably well for sentence classification. The paper shows that adopting a set of static embedding - which will be discussed when we talk about RNNs - and building a very simple ConvNet on the top of it, can actually improve the performance of sentiment analysis significantly:

An example of model architecture as seen in https://arxiv.org/pdf/1408.5882.pdf

The use of ...