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Presentation: Basics of Deep Learning: No Math Required

Track: Deep Learning Applications & Practices

Location: Cyril Magnin I

Duration: 12:45pm - 12:55pm

Day of week: Wednesday

Level: Beginner

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Abstract

Recently deep learning has shattered all records when it comes to machine learning. Unfortunately, many developers never harness the power of this machine learning technique. In this short talk you will gain a basic understanding of the two most simple types of layers: the dense, and convolutional layer. Take the first steps in your journey to deep learning, no math required.

Host: Roland Meertens

Machine Learning Engineer @Autonomous Intelligent Driving

Roland Meertens is Machine Learning Engineer at Autonomous Intelligent Driving. He works on the machine learning side of the perception software stack that will be deployed to the autonomous vehicles that will soon roam urban environments in Germany.

Find Roland Meertens at

2019 Tracks

  • Groking Timeseries & Sequential Data

    Techniques, practices, and approaches around time series and sequential data. Expect topics including image recognition, NLP/NLU, preprocess, & crunching of related algorithms.

  • Deep Learning in Practice

    Deep learning use cases around edge computing, deep learning for search, explainability, fairness, and perception.