Applying Deep Learning for NLP using Python - Workshop

T. A. Subramanya Paddillaya (~t._a._subramanya)


22

Votes

Description:

Deep Learning has revolutionized areas like Speech recognition. Recently, deep learning approaches have obtained very high performance across many different NLP tasks. In this workshop, we will see the application of deep learning to common NLP Tasks and implementation in python using Keras Library.

Since this is a broad topic, considering the workshop duration I have concentrated on word embeddings and text classification.

Agenda for the Talk:

An Introduction to Deep learning - MLP, CNN and RNN and its implementation in Keras

Word Embeddings - Word2Vec and Glove

Embed, Encode, Attend, Predict -Framework for applying Deep Learning methods for NLP, Example: Document classification using Hierarchical Attention Network

Sentiment Analysis with 1D-CNN and LSTM

Prerequisites:

A Basic Knowledge of Python, Machine Learning, Deep Learning and Natural Language Processing.

Content URLs:

The content of the talk will be shared in the form of the Github Repository.

Speaker Info:

Subramanya T A is Senior Data Scientist at Sentienz. He heads the Data Science team at Sentienz.

Speaker Links:

LinkedIn Profile: https://www.linkedin.com/in/subramanya-t-a-7306a729/

Sentienz Website - http://www.sentienz.com/

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

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Vishal Tyagi (~vishal434)

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