Applied Deep Learning state-of-the-art
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Python • December 2021
Applied Deep Learning state-of-the-art
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About
Applied Deep Learning state-of-the-art
About

In this session we will see how to do transfer learning over a state-of-the-art pre-trained model like RoBERTa to achieve our own goal in Named Entity Recognition with our own DataSet. We will take and label new data to finally feed the network trying to achieve transfer learning. Then we will make use of the new fine tuned weights and use FastAPI to deploy our new fine tuned model to kubernetes to make inference.
We will be playing with Spacy, huggingface, pytorch, python, FastAPI, Azure Kubernetes Services, CUDA hardware and terraform :)

Language
English
Level
Advanced
Length
33 minutes
Type
online conference
About the speaker
About the speaker
Enrique Catalá Bañuls
Data & AI Technical LeaderVerne Tech
Microsoft Data Platform MVP, Computer Engineer, Certified Kubernetes Administrator, Azure Data Scientist, Azure Data Engineer. Working as Data & AI technical leader for @VerneGroup with focus on DataPlatform, AI/ML, scalability , performance and High availability environments.
Details
Language
English
Level
Advanced
Length
33 minutes
Type
online conference
Belongs to:
Belongs to:
Online Tech Conference 2021 - English Edition | Autumn
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