The following are my learnings from Jose course on NLP.

This post gives some of the learnings from the deliberate practice on spacy.

I was able to undersand the basic idea behind RNN after working through an example from the book by Antonio Gulli.

I was puzzled with the way LSTMs were used to do sentiment analysis. Finally the book by Antonio Gulli helped me understand the mechanics of the LSTM.

In this article, I will explain the way you can code a simple RNN that tracks a simple shift in the pattern, i.e a value from a normal distribution. As compared to previous implementations where we had used OutputProjectionWrapper, this code does away with that component and does it more efficiently Create Training and Validation Data 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 import numpy as np import re from sklearn.