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www.analyticsvidhya.com | ||
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tcode2k16.github.io
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| | | | | a random blog about cybersecurity and programming | |
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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. | |
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www.jeremymorgan.com
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| | | | | Want to learn about PyTorch? Of course you do. This tutorial covers PyTorch basics, creating a simple neural network, and applying it to classify handwritten digits. | |
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www.ntentional.com
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| | | Highlights from my favorite Deep Learning efficiency-related papers at ICLR 2020 | ||
