This is a recorded stream from PyLadies Amsterdam “Introduction to TF-Hub & Object Detection using TF-Hub” workshop for Beginners level on the 22nd of October 2020. This talk was a part of the Codemotion Online Tech Conference 2020.

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

Timeline:
00:00:00 – Introduction and setup
00:06:50 – Introduction to TF-Hub
00:51:47 – Object Detection using TF-Hub

GitHub Repo with exercises:
https://github.com/pyladiesams/tf-hub-beginner-oct2020

Usha Rengaraju:
https://www.linkedin.com/in/usha-rengaraju-b570b7a2/
Usha is India’s first female Kaggle Grandmaster and she is ranked as top ten Data Scientists in India for the year 2020 by Analytics India Magazine. She is a Data Science Global Ambassador for HP and NVIDIA. She leads several communities such as Women in Machine Learning and Data Science (WiMLDS – Bangalore and Mysore Chapter), TensorFlow User Group (TFUG Mysore ), and Women in Data Science Ambassador (WiDS Mysore). She organized NeuroAI (www.neuroai.in) which is India’s first-ever research symposium in Neuroscience and Data Science.

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