2 个仓库
Awesome GitHub RepositoriesText Classification Models
Machine learning models built with TensorFlow specifically for text categorization tasks.
Distinct from TensorFlow Model Development: Focuses on the model's application to text classification rather than general TF development
Explore 2 awesome GitHub repositories matching artificial intelligence & ml · Text Classification Models. Refine with filters or upvote what's useful.
Awesome Text Classification Models GitHub Repositories
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- dennybritz/cnn-text-classification-tf
dennybritz/cnn-text-classification-tf
5,684在 GitHub 上查看该项目是一个用于文本分类的卷积神经网络的 TensorFlow 实现。它作为一个深度学习文本分类器，通过识别和分析训练集中的学习模式，将预定义标签分配给文本文档。 该模型利用嵌入层向量化、用于特征提取的卷积层和用于处理文本数据的最大池化下采样序列。最终类别概率通过密集层分类系统确定。 该工作流涵盖了端到端的机器学习生命周期，包括监督文本学习、具有可配置嵌入维度和过滤器大小的模型训练，以及使用验证数据集和基于检查点的模型持久化进行的性能评估。
Provides a convolutional neural network implementation using the TensorFlow ecosystem to classify text.
Python - gaussic/text-classification-cnn-rnn
gaussic/text-classification-cnn-rnn
4,301在 GitHub 上查看This project is a TensorFlow-based supervised text categorizer designed for Chinese natural language processing. It utilizes a hybrid neural network architecture that combines convolutional and recurrent layers to map raw Chinese text to predefined categories. The system integrates convolutional neural networks for local feature extraction and recurrent neural networks for analyzing sequential dependencies. It employs character-level tokenization and word embeddings to represent text as numerical tensors. The implementation covers the end-to-end machine learning pipeline, including text prep
Implements a TensorFlow-based model for categorizing Chinese text documents.
Pythonchineseclassificationcnn
