eisenjulian/nlp_estimator_tutorial
Educational material on using the TensorFlow Estimator framework for text classification
This educational material helps data scientists and machine learning engineers understand how to classify text data. It guides you through using TensorFlow's Estimator framework to build models that can automatically categorize text inputs, producing classified text outputs. This is designed for practitioners who want to implement text classification solutions.
135 stars. No commits in the last 6 months.
Use this if you are a data scientist or machine learning engineer looking to learn and apply TensorFlow's Estimator framework for text classification tasks.
Not ideal if you are looking for a pre-built, production-ready text classification API rather than educational content on building one.
Stars
135
Forks
52
Language
Jupyter Notebook
License
MIT
Last pushed
Jan 29, 2019
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/eisenjulian/nlp_estimator_tutorial"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
gaussic/text-classification-cnn-rnn
CNN-RNN中文文本分类，基于TensorFlow
TobiasLee/Text-Classification
Implementation of papers for text classification task on DBpedia
prakashpandey9/Text-Classification-Pytorch
Text classification using deep learning models in Pytorch
ShawnyXiao/TextClassification-Keras
Text classification models implemented in Keras, including: FastText, TextCNN, TextRNN,...
FreedomIntelligence/TextClassificationBenchmark
A Benchmark of Text Classification in PyTorch