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DeepLearning.TV's video: What is a Deep Learning Library - Ep 16 Deep Learning SIMPLIFIED

@What is a Deep Learning Library? - Ep. 16 (Deep Learning SIMPLIFIED)
Deep Learning libraries provide pre-written, professional-quality code that you can use for your own projects. Given the complexity of deep net applications, reusing code is a wise choice for a developer. Deep Learning TV on Facebook: https://www.facebook.com/DeepLearningTV/ Twitter: https://twitter.com/deeplearningtv A library is a set of functions and modules that you can call through your own programs. Library code is typically created by highly-qualified software teams, and many libraries bring together large communities that support and extend the codebase. If you’re a developer, you’ve almost certainly used a library at one point in time. For a commercial-grade deep learning application, the best libraries are deeplearning4j, Torch, and Caffe. The library Theano is suited for educational, research, and scientific projects. Other available libraries include Deepmat and Neon. Have you ever tried to code your own deep net? Did you use a library to help simplify the process? Please comment and share your thoughts. Credits Nickey Pickorita (YouTube art) - https://www.upwork.com/freelancers/~0147b8991909b20fca Isabel Descutner (Voice) - https://www.youtube.com/user/IsabelDescutner Dan Partynski (Copy Editing) - https://www.linkedin.com/in/danielpartynski Marek Scibior (Prezi creator, Illustrator) - http://brawuroweprezentacje.pl/ Jagannath Rajagopal (Creator, Producer and Director) - https://ca.linkedin.com/in/jagannathrajagopal

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This video was published on 2016-01-12 00:11:49 GMT by @DeepLearning.TV on Youtube. DeepLearning.TV has total 81.1K subscribers on Youtube and has a total of 31 video.This video has received 227 Likes which are lower than the average likes that DeepLearning.TV gets . @DeepLearning.TV receives an average views of 128K per video on Youtube.This video has received 19 comments which are lower than the average comments that DeepLearning.TV gets . Overall the views for this video was lower than the average for the profile.

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