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Deep Learning - From Basic Principles through Training Models for Deployment into Production

What are neural networks, but more important, how are they trained in practice? How can data scientists design an optimal neural network when a single training run can take 2 weeks? In this Data Science Central webinar we will start from the foundation of what deep learning is then fast forward through what it takes to train a production quality neural network. You won't be able to train a network when this talk is over, but you'll understand enough basics to start smart conversations about our customers' practice of deep learning.

Speaker: Anthony Stevens, Offering Manager, Watson Deep Learning -- IBM Watson and Cloud Platform

Hosted by: Bill Vorhies, Editorial Director -- Data Science Central

Views: 1235


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Comment by Tralah Brian on April 11, 2018 at 8:52am

enlightening presentation here

Comment by Shashikant Brahmankar on November 30, 2017 at 12:12am

Excellent presentation, Anthony.


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