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studywolf.wordpress.com | ||
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homepages.cwi.nl
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embedded.fm
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| | | | | I hope I'm not kidding myself. | |
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yann.lecun.com
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| | | | | LeNet Demo | |
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blog.fastforwardlabs.com
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| | | This article is available as a notebook on Github. Please refer to that notebook for a more detailed discussion and code fixes and updates. Despite all the recent excitement around deep learning, neural networks have a reputation among non-specialists as complicated to build and difficult to interpret. And while interpretability remains an issue, there are now high-level neural network libraries that enable developers to quickly build neural network models without worrying about the numerical details of floating point operations and linear algebra. | ||
