Presented By O'Reilly and Cloudera
Make Data Work
22–23 May 2017: Training
23–25 May 2017: Tutorials & Conference
London, UK

Deep learning in practice

Mikio Braun (Zalando SE)
11:1511:55 Wednesday, 24 May 2017
Data science and advanced analytics
Location: Hall S21/23 (A)
Secondary topics:  Deep learning
Level: Intermediate
Average rating: ***..
(3.14, 7 ratings)

Who is this presentation for?

  • Data scientists and managers of data-intensive products

Prerequisite knowledge

  • A basic understanding of data-driven approaches to problems

What you'll learn

  • Gain an overview of how deep learning technologies work, what to expect when using them, and guidelines for choosing the right technology for a task

Description

Deep learning has become the go-to solution for challenges such as image classification or speech processing, but does it work for all application areas? Mikio Braun offers background on deep learning and shares his practical experience working with these exciting technologies.

Topics include:

  • Background on deep learning technologies and artificial neural networks
  • A discussion of typical scenarios where this works well
  • Insights into how these methods work
  • A comparison with other common ML methods
  • Guidelines for deciding when to use what
  • A brief overview of software and technologies to use (e.g., TensorFlow)
Photo of Mikio Braun

Mikio Braun

Zalando SE

Mikio Braun is principal engineer for search at Zalando, one of Europe’s biggest fashion platforms. He worked in research for a number of years before becoming interested in putting research results to good use in the industry. Mikio holds a PhD in machine learning.