Deep Learning model for sequence tagging

Anil Kumar Reddy (~anil_kumar46)


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Description:

This talk focuses on below two points

  1. Software architecture which helps to try different models on different data sets. In the end we will take a real world use case where our architecture helped in speeding up the development process.

  2. Bi-Directional LSTM with CRF.

Prerequisites:

Knowledge of Python, ML and DL.

Content URLs:

https://github.com/Imaginea/i-tagger

Speaker Info:

Anil and Gaurish are part of Data Science team at Pramati technologies. They work on building ML and DL models to solve real world problems.

Speaker Links:

Anil Kumar - https://www.linkedin.com/in/anil-kumar-reddy-309552ab/

Gaurish - https://www.linkedin.com/in/gaurishthakkar/

Section: Data science
Type: Talks
Target Audience: Intermediate
Last Updated:

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