Using Keras to classify text with LSTMs and other ML techniques

Lukas Biewald (Weights & Biases)

9:00am–12:30pm Tuesday, September 10, 2019

Location: LL21 E/F

Models and Methods

Secondary topics: Deep Learning, Deep Learning tools, Machine Learning, Text, Language, and Speech

Average rating:

(4.25, 4 ratings)

Who is this presentation for?

Machine learning engineers

Level

Intermediate

Description

Take a hands-on deep dive into building a sentiment classifier on text data starting with scikit-learn and Naive Bayes and continuously improving the model.

Lukas Biewald explains Keras and applies word embeddings and convolutional neural networks (CNNs), and you’ll build various types of LSTMs and GRUs. You’ll be given a Jupyter hub instance setup with a cloud GPU to follow along.

Prerequisite knowledge

Familiarity with Python
Experience with ML (not necessarily on text)

Materials or downloads needed in advance

A WiFi-enabled laptop with the Chrome web browser installed
Everything will be hosted on a Jupyter hub in a web browser to avoid installation problems. If you really want to configure things locally, install requirements.txt or follow the README.

What you'll learn

Learn text handing with scikit-learn
Understand how to build LSTMs and GRUs
Get an introduction to Keras

Lukas Biewald

Weights & Biases

Lukas Biewald is the founder and CEO of Weights & Biases, his second major contribution to advances in the machine learning field. Previously, Lukas founded Figure Eight, formally CrowdFlower. Figure Eight was acquired by Appen in 2019. Lukas has dedicated his career to optimize ML workflows and teach ML practitioners, making machine learning more accessible to all.