dennybritz/cnn-text-classification-tf resource

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5685 stars · 2726 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A simplified TensorFlow implementation of Kim's CNN architecture for sentence classification, accompanying a WildML blog post. It serves primarily as educational reference code for learning how to build CNN-based text classifiers.

Use cases

• learn how to implement a CNN for text classification in TensorFlow
• reproduce Kim's Convolutional Neural Networks for Sentence Classification paper
• study a minimal text classification training pipeline
• understand CNN filter sizes and dropout for NLP
• tutorial code for deep learning sentence classification

When to choose

• you want readable reference code to learn CNN text classification
• you are following the accompanying blog post or Kim's paper
• you need a simple starting point for sentence classification experiments

When to avoid

• you need a production-grade or actively maintained NLP classifier
• you want modern architectures like transformers or pretrained models
• you need support for recent TensorFlow versions without code changes

Facets

learning-resource · maturity maintenance

machine-learning deep-learning nlp deep-learning tutorials python text-classification cnn tensorflow sentence-classification educational-code natural-language-processing

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