Deep Learning: From basic principles to training and deploying models in production
Date: This event took place live on April 19 2018
Presented by: Anthony Stevens
Duration: Approximately 60 minutes.
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Deep learning is currently one of the hottest areas in data science. Increasingly, businesses are applying it to gain competitive advantage. According to Gartner, eighty percent of data scientists will have deep learning in their toolkits by 2018. There is lot of demand for it, but not enough practitioners. In this webcast, we will set the foundation for what deep learning is, then walk through what it takes to train and deploy a production-quality neural network.
In this webcast you will learn:
About Anthony Stevens, Offering Manager, Watson Machine Learning
Anthony Stevens is offering manager for Watson Machine Learning where he collaborates with IBM Watson Research to translate theory into practice. Previously, Anthony was a senior Watson architect working with over 40 customers including partners, engineering, and research teams to architect cognitive solutions using Watson technologies.
Anthony is an expert in transforming complex problems and datasets into elegant mobile, web, and cloud solutions. He has done this for life science, health, consumer, and multimedia companies by bringing deep expertise in both software development and product management. He has led the process to design, architect, build, and launch products for startups and Fortune 500 corporations.
As a top 20 winner of the first Android Developer Challenge in 2008, Google awarded him $125,000 for building an innovative product that showcased Android. In short, you can consider him a Master Builder.