FDP on DL for NLP
Jyothi PillaiSarang Pitale

FDP on DL for NLP

AICTE Sponsored One Week FDP on Deep Learning for Natural Language Processing15th–19th November 2021

FDP OBJECTIVE :

Retrieving relevant information for natural language texts, extracting knowledge from it and representing them in a structured way are challenging problems. NLP analyses the above stated challenges and develop models to overcome them. Deep learning methods are achieving state-of-the-art results on challenging NLP problems.

The FDP aims to give participants a comprehensive understanding of the basic concepts of Natural Language Processing and its applications in the analysis of large datasets using relevant Deep Learning models

MAJOR THEMES:

•Introduction to Deep Learning and Motivation

•Introduce NLP fundamentals.

•Deep Learning for NLP

•Statistical and Machine Learning Models.

•Recurrent Neural Network (RNN)

•Hand-written digit recognition using Neural networks Anaconda and Tensor flow framework

•Sentiment analysis using Natural Language Toolkit (NLTK)

•Image identification and classification project

•Application of NLP for real world applications