Tensorflow Hub

In recent times, tensorflow hub has become increasingly relevant in various contexts. TensorFlow Hub is a repository of trained machine learning models ready for fine-tuning and deployable anywhere. Reuse trained models like BERT and Faster R-CNN with just a few lines of code. TensorFlow Hub is an open repository and library for reusable machine learning.

The tfhub.dev repository provides many pre-trained models: text embeddings, image classification models, TF.js/TFLite models and much more. The repository is open to community contributors. Similarly, installation - TensorFlow Hub. The tensorflow_hub library can be installed alongside TensorFlow 1 and TensorFlow 2. We recommend that new users start with TensorFlow 2 right away, and current users upgrade to it.

Tutorials | TensorFlow Hub. TensorFlow Hub tutorials to help you get started with using and adapting pre-trained machine learning models to your needs. TensorFlow Hub は、すぐに微調整してどこにでもデプロイ可能なトレーニング済み機械学習モデルのリポジトリです。 BERT や Faster R-CNN などのトレーニング済みモデルを、わずか数行のコードで再利用できます。 TensorFlow Hub es un repositorio de modelos de aprendizaje automático entrenados, listos para optimizarlos e implementarlos donde quieras.

Equally important, puedes reutilizar modelos entrenados, como BERT y Faster R-CNN, con solo unas pocas líneas de código. Transfer learning with TensorFlow Hub | TensorFlow Core. Select a MobileNetV2 pre-trained model from TensorFlow Hub. Any compatible image feature vector model from TensorFlow Hub will work here, including the examples from the drop-down menu. Object Detection - TensorFlow Hub. View on TensorFlow.org Run in Google Colab View on GitHub Download notebook See TF Hub models

BERT Experts from TF-Hub - TensorFlow. We'll load the BERT model from TF-Hub, tokenize our sentences using the matching preprocessing model from TF-Hub, then feed in the tokenized sentences to the model. Building on this, tensorFlow Hub는 기계 학습 모델의 재사용 가능한 부분을 게시, 검색 및 사용하기 위한 라이브러리입니다.