Using TFHub Modules for Classification
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Updated
Apr 22, 2018 - Jupyter Notebook
Using TFHub Modules for Classification
Build a simple text classifier with TF-Hub
Example of transfer learning with tensorflow-hub and Google ML Engine
A review rating classifier using a DAN encoder, and dense, fully-connected layers
Find similar sentences using Tensorflow Hub for English Wikipedia
Image retraining by Tensorflow
Use transfer learning to play with an dataset for Industrial Optical Inspection
Export and optimize Tensorflow Hub models for inference and deployment
NPS sentiment analysis
The lightweight engineering TensorFlow wrapper for AI engineer. Write less, Reuse more, Scale easily.
꽃다발 추천 웹 애플리케이션(Bouquet recommendation web application)
(BOW, TF-IDF, Word2Vec, BERT) Word Embeddings + (SVM, Naive Bayes, Decision Tree, Random Forest) Base Classifiers + Pre-trained BERT on Tensorflow Hub + 1-D CNN and Bi-Directional LSTM on IMDB Movie Reviews Dataset
Semantic Textual Similarity between two document
one-style and multi-style custom neural transformation
Off-the-shelf Object Detection API with a model in Tensorflow Hub
Text Classification using tensorflow hub
qa prototype
This repository contains notebooks from the Coursera specialization TensorFlow: Data and Deployment.
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