IT & Software Path

RNNs for Natural Language Processing

4.7k+ Enrolled
10
6 Modules
RNNs for Natural Language Processing

What you will learn

1
"Introduction to RNNs
2
Indepth understanding of various RNN algorithms.
3
Useage of different NLP libraries such as NLTK SpaCy and many more

Mastery & Benefits

Build a text classification system (can be used for spam detection | sentiment analysis | and similar problems)
Build a neural machine translation system (can also be used for chatbots and question answering)
Build a sequence-to-sequence (seq2seq) model
Build an attention model
Build a memory network (for question answering based on stories)"