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


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


•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