Introduction to TF-Hub & Object Detection using TF-Hub
Language
English
Level
Beginner
Length
62 minutes
Type
online conference
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About
AI/Machine Learning • October 2020
Introduction to TF-Hub & Object Detection using TF-Hub
The codelab will be presented by Usha Rengaraju. 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 wcodelab we will cover the following: - Introduction to TF-Hub - Solving an object detection use case using TF-Hub
About speakers
PyLadies Amsterdam
OrganizerPyLadies Amsterdam
PyLadies Amsterdam is the official Amsterdam chapter of a global non-profit organization PyLadies, recognized by the Python Software Foundation. Vision: Acting on diversity in technology. Mission: We bring focus and real coding back to tech meetups so Python programmers can effectively share knowledge and enrich their coding styles. Implementation: We organize coding events tailored by level and topic so Python programmers can do what they love: program and help peers to write cleaner and better code.
Usha Rengaraju
Data Science Global AmbassadorHP and NVIDIA
Usha is India’s first women Kaggle Grandmaster and she is ranked as top ten Data Scientists in India for the year 2020 by Analytics India Magazine.She is Data Science Global Ambassador for HP and NVIDIA. She organised NeuroAI (www.neuroai.in) which is India’s first-ever research symposium in the interface of Neuroscience and Data Science. She specialises in Probabilistic Graphical Models, Machine Learning and Deep Learning. She has prepared curriculum for BITS Pilani’s masters in Data Science program (consumed by 20,000+ students ) and Upgrad’s PGP program in DS(consumed by 10,000+ students).
Details
Language
English
Level
Beginner
Length
62 minutes
Type
online conference
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