Presented By O'Reilly and Cloudera
Make Data Work
31 May–1 June 2016: Training
1 June–3 June 2016: Conference
London, UK

Recent advances in deep learning research

Olivier Grisel (Inria & scikit-learn)
14:00–14:30 Wednesday, 1/06/2016
Hardcore data science
Location: Capital Suite 4 Level: Advanced
Average rating: ****.
(4.00, 3 ratings)

Prerequisite knowledge

Attendees should have a familiarity with machine-learning concepts in general and deep neural networks in particular as well as the application domains of machine learning such as computer vision and natural language processing.


Deep learning is a branch of machine learning that leverages compositions of parametrized differentiable modules commonly referred to as neural networks to build versatile and powerful predictive models from richly annotated data. Olivier Grisel offers an overview of recent trends and advances in deep learning research in computer vision, natural language understanding, and agent control via reinforcement learning.

Photo of Olivier Grisel

Olivier Grisel

Inria & scikit-learn

Olivier Grisel is a software engineer at Inria Saclay, France, where he works on scikit-learn, an open source project for machine learning in Python. Olivier also contributes occasional bug fixes to upstream projects in the NumPy/SciPy ecosystem.