Sep 9–12, 2019

Using Keras to classify text with LSTMs and other ML techniques

Lukas Biewald (CrowdFlower)
9:00am12:30pm Tuesday, September 10, 2019
Models and Methods
Location: 230 C

Who is this presentation for?

Machine Learning Engineer

Level

Intermediate

Prerequisite knowledge

  • Familiar with Python.
  • Some experience with ML but not necessarily on text.

Materials or downloads needed in advance

  • Only a laptop with Chrome installed
  • Everything will be hosted on a Jupyter hub in a web browser to avoid installation problems. Though if you really want to configure things locally, install requirements.txt or follow the README.

What you'll learn

  • Text handing with scikit learn.
  • Building LSTMs/GRUs.
  • Introduction to Keras.

Description

We will build and improve a sentiment classifier on text data. We will start with scikit learn and naive bayes and continuously improve the model. I will introduce Keras and then apply word embeddings and CNNs. Finally, we will build various types of LSTMs and GRUs.

This class is extremely hands-on but every attendee will be given a Jupyter hub instance set up with a cloud GPU to follow along.

Photo of Lukas Biewald

Lukas Biewald

CrowdFlower

Lukas Biewald is the founder of Weights and Biases. Before that he was the founder of CrowdFlower,a machine learning data labeling company acquired by Appen for 300 million dollars.. He was featured on Inc. magazine’s 30 under 30 list. Lukas holds a BS in mathematics and an MS in computer science from Stanford. He is also an expert Go player.

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