Depends on the definition

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Enhancing LSTMs with character embeddings for Named entity recognition

Named entity recognition series: Introduction To Named Entity Recognition In Python Named Entity Recognition With Conditional Random Fields In Python Guide To Sequence Tagging With Neural Networks In Python Sequence Tagging With A LSTM-CRF Enhancing LSTMs With Character Embeddings For… Continue Reading →

Guide to word vectors with gensim and keras

Today, I tell you what word vectors are, how you create them in python and finally how you can use them with neural networks in keras. For a long time, NLP methods use a vectorspace model to represent words. Commonly… Continue Reading →

How to build a smart product: Transfer Learning for Dog Breed Identification with keras

This time I will show you how to build a simple “AI” product with transfer learning. We will build a “dog breed identification chat bot”. In this first post, I will show how to build a good model using keras,… Continue Reading →

Detecting Network Attacks with Isolation Forests

In this post, I will show you how to use the isolation forest algorithm to detect attacks to computer networks in python.

A strong baseline to classify toxic comments on Wikipedia with fasttext in keras

This time we’re going to discuss a current machine learning competion on kaggle. In this competition, you’re challenged to build a model that’s capable of detecting different types of toxicity in comments from Wikipedia’s talk page edits. I will show you how to create a strong baseline using python and keras.

Sequence tagging with a LSTM-CRF

I show a state-of-the-art approach to named entity recognition. A hybrid approach combining a bidirectional LSTM model and a CRF model

Guide to sequence tagging with neural networks in python

Named entity recognition series: Introduction To Named Entity Recognition In Python Named Entity Recognition With Conditional Random Fields In Python Guide To Sequence Tagging With Neural Networks In Python Sequence Tagging With A LSTM-CRF Enhancing LSTMs With Character Embeddings For… Continue Reading →

Named entity recognition with conditional random fields in python

This is the second post in my series about named entity recognition. This time, we’re going to look into a more sophisticated algorithm, a so called conditional random field.

Introduction to named entity recognition in python

In this post you will learn how to do basic Named Entity Recognition (NER) in python. This is the first post in a series about NER.

Classifying genres of movies by looking at the poster – A neural approach

Today we will apply the concept of multi-label multi-class classification with neural networks from the last post to
classify movie posters by genre.

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