https://github.com/pyladiesams/tf-hub-beginner-oct2020

An introduction to TensorFlow Hub and Object Detection with TensorFlow pre-trained models
https://github.com/pyladiesams/tf-hub-beginner-oct2020

tensorflow tf-hub workshop

Last synced: 8 days ago
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An introduction to TensorFlow Hub and Object Detection with TensorFlow pre-trained models

• Host: GitHub
• URL: https://github.com/pyladiesams/tf-hub-beginner-oct2020
• Owner: pyladiesams
• License: mit
• Created: 2020-09-23T15:13:56.000Z (almost 6 years ago)
• Default Branch: master
• Last Pushed: 2020-12-14T13:45:56.000Z (over 5 years ago)
• Last Synced: 2025-02-22T22:44:29.387Z (over 1 year ago)
• Topics: tensorflow, tf-hub, workshop
• Homepage:
• Size: 37.1 KB
• Stars: 1
• Watchers: 2
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          

# An introduction to TF-Hub

### Level: Beginner

### Presentation: https://www.kaggle.com/usharengaraju/pyladiesamsterdam-introductiontotf-hub

## Project description

TensorFlow Hub is a repository of trained machine learning models ready for fine-tuning and deployable anywhere. Using TF-Hub, one can reuse trained models like BERT and Faster R-CNN with just a few lines of code.

In this workshop, we will cover the following:

* Introduction to TF-Hub

* Solving an object detection use case using TF-Hub

![TF-Hub logo](tf_hub_logo.png)

## Setup:

There is no local setup for this workshop

## Requirements:

* To access the Kaggle notebook, a Kaggle account is required. Create an account following this tutorial: https://medium.com/wids-mysore/getting-started-with-kaggle-de4d3a9d34cf 

## Usage

* Open the following link on Kaggle notebooks: https://www.kaggle.com/usharengaraju/pyladiesamsterdam-introductiontotf-hub

* Dive in and code hands-on 

## Video record

[An introduction to TF-Hub](https://youtu.be/ho6iZ9o_528)

## Credits

This workshop was set up by @pyladiesams and @ushareng