Tim Dettmers – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2022-10-10T18:45:50Z http://www.open-lab.net/blog/feed/ Tim Dettmers <![CDATA[Deep Learning in a Nutshell: Reinforcement Learning]]> http://www.open-lab.net/blog/parallelforall/?p=7124 2022-08-21T23:37:57Z 2016-09-08T10:45:04Z This post is Part 4 of the Deep Learning in a Nutshell series, in which I��ll dive into reinforcement learning, a type of machine learning in which agents take...]]>

This post is Part 4 of the Deep Learning in a Nutshell series, in which I’ll dive into reinforcement learning, a type of machine learning in which agents take actions in an environment aimed at maximizing their cumulative reward. Deep Learning in a Nutshell posts offer a high-level overview of essential concepts in deep learning. The posts aim to provide an understanding of each concept rather…

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Tim Dettmers <![CDATA[Deep Learning in a Nutshell: Sequence Learning]]> http://www.open-lab.net/blog/parallelforall/?p=6437 2022-08-21T23:37:46Z 2016-03-08T06:26:00Z This series of blog posts aims to provide an intuitive and gentle introduction to deep learning that does not rely heavily on math or theoretical...]]>

This series of blog posts aims to provide an intuitive and gentle introduction to deep learning that does not rely heavily on math or theoretical constructs. The first part of this series provided an overview of the field of deep learning, covering fundamental and core concepts. The second part of the series provided an overview of training neural networks efficiently and gave a background on the…

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Tim Dettmers <![CDATA[Deep Learning in a Nutshell: History and Training]]> http://www.open-lab.net/blog/parallelforall/?p=6163 2022-10-10T18:45:50Z 2015-12-16T21:27:08Z This series of blog posts aims to provide an intuitive and gentle introduction to deep learning that does not rely heavily on math or theoretical constructs....]]>

This series of blog posts aims to provide an intuitive and gentle introduction to deep learning that does not rely heavily on math or theoretical constructs. The first part in this series provided an overview over the field of deep learning, covering fundamental and core concepts. The third part of the series covers sequence learning topics such as recurrent neural networks and LSTM.

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Tim Dettmers <![CDATA[Deep Learning in a Nutshell: Core Concepts]]> http://www.open-lab.net/blog/parallelforall/?p=6063 2022-08-21T23:37:40Z 2015-11-04T01:50:53Z This post is the first in a series I��ll be writing for Parallel Forall that aims to provide an intuitive and gentle introduction to deep learning. It covers...]]>

This post is the first in a series I’ll be writing for Parallel Forall that aims to provide an intuitive and gentle introduction to deep learning. It covers the most important deep learning concepts and aims to provide an understanding of each concept rather than its mathematical and theoretical details. While the mathematical terminology is sometimes necessary and can further understanding…

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