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Deep Natural Language Processing

Build a POS tagger with an LSTM using Keras

In this tutorial, we’re going to implement a POS Tagger with Keras. On this blog, we’ve already covered the theory behind POS taggers: POS Tagger with Decision Trees and POS Tagger with Conditional Random Field. Recently we also started looking at Deep Learning, using Keras, a popular Python Library. You can get started with Keras […]

Getting started with Keras for NLP

In the previous tutorial on Deep Learning, we’ve built a super simple network with numpy. I figured that the best next step is to jump right in and build some deep learning models for text. The best way to do this at the time of writing is by using Keras . What is Keras? Keras […]

Introduction to Deep Learning

Introduction to Deep Learning – Sentiment Analysis

Deep Learning is one of those hyper-hyped subjects that everybody is talking about and everybody claims they’re doing. In certain cases, startups just need to mention they use Deep Learning and they instantly get appreciation. Deep Learning is indeed a powerful technology, but it’s not an answer to every problem. It’s also not magic like […]

Word Embeddings Cover

Complete Guide to Word Embeddings

Introduction We talked briefly about word embeddings (also known as word vectors) in the spaCy tutorial. SpaCy has word vectors included in its models. This tutorial will go deep into the intricacies of how to compute them and their different applications.




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