Romeo chats with self-described hacker, Adam Gibson, about his path from machine learning to deep learning and his work with Deeplearning4J.

In this video:

Romeo chats with Adam Gibson, CTO of Skymind, about how he created Deeplearning4J. Romeo gets Adam talking about how Skymind implemented parallel neural network training in ApacheSpark and other advanced deep learning capabilities like automated differentiation of arbitrary neural network models. Finally, he explains how custom made neural network layer types can be implemented using those framework capabilities.

Adam has co-authored a book on deep learning (along with Josh Patterson): Deep Learning: A Practitioner’s Approach.

You can also see Romeo interview Max Pumperla (a deep learning engineer at Skymind) or Francois Garillot (another deep learning engineer from Skymind), who talks about deep neural nets.

Resources for you

Discovering Data Science with Romeo Kienzler

Follow Romeo as he tackles the most difficult challenges in data science.

Subscribe on YouTube | Subscribe by email

Join The Discussion

Your email address will not be published. Required fields are marked *