Tess Ferrandez-Norlander


Deep Learning: From Vision to Reality
Katrinebergssalen, Tuesday 15:15 - 16:05

How do you implement an application that can pick out the interesting parts of a soccer game? What do you do when you don't have enough data, or when the data is too specific? How do you know that you are actually solving the problem, or even the right problem?

Writing a neural network in Python using Keras is very straight forward, you can do it in 20 lines or less, but is that all there is? Welcome to a journey through some real world problems and the thinking when working through them.

Tess Ferrandez-Norlander

Tess is a developer/data scientist working at Microsoft. Over the past 20 years she has changed the way we do .net debugging, developed a large number of mobile apps. As of a couple of years ago she moved into the world of data science and machine learning working with a lot of the largest companies in Europe and beyond on really tough ML problems.

She has has spoken at lots and lots of conferences around the world on a wide variety of topics including deep .net debugging, UX, web development and Machine Learning. You can also find her on twitter at @TessFerrandez