Shivam Sharma
TechScalable
LEARN, CONNECT, BUILD
Microsoft Reactor
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LEARN, CONNECT, BUILD
Microsoft Reactor
Neem deel aan Microsoft Reactor en neem live contact op met ontwikkelaars
Klaar om aan de slag te gaan met AI en de nieuwste technologieën? Microsoft Reactor biedt evenementen, training en communitybronnen om ontwikkelaars, ondernemers en startups te helpen bouwen op AI-technologie en meer. Kom kijken.
Terug
Natural Language Processing (NLP) with Azure ML Service
15 maart, 2022 | 12:30 p.m. - 1:30 p.m. (UTC) Coordinated Universal Time
- Notatie:
Livestream
Onderwerp: Datawetenschap & Machine Learning
Taal: Engels
In this workshop, you will explore different neural network architectures for dealing with natural language texts. In the recent years, Natural Language Processing (NLP) has experiences fast growth as a field, primarily because performance of the language models depend on their overall ability to "understand" text, and that can be trained in unsupervised manner on large text corpora. Thus, pre-trained text models such as BERT simplified many NLP tasks, and dramatically improved the performance.
The session will focus on Azure services and related products like Azure Machine Learning Service,PyTorch,BERT,Generative Neural Networks (GNNs) &Recurrent Neural Networks (RNNs)
What will you learn from the session :
a) Learn about Attention Mechanisms
b) Learn how to build text classification models
Further Learning : https://aka.ms/NLPwithTensorFlow-LM-15/3
Speaker : Shivam Sharma
Speaker BIO- Shivam is an author, cloud architect, speaker, and Co-Founder at TechScalable. Being passionate about ever evolving technology he works on Azure, GCP, Machine Learning, Kubernetes & DevOps. He is also a Microsoft Certified Trainer. He architects’ solutions on Cloud as well on-premises using wide array of platforms/technologies.
Social Handle
LinkedIn - https://www.linkedin.com/in/shivam-sharma-9828a536/
Twitter - https://twitter.com/ShivamSharma_TS
Facebook - https://www.facebook.com/TSshivamsharma/
Vereisten
a) Basic Python knowledge
b) Basic understanding of machine learning
Sprekers
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