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 piware.de
First steps with neural networks and NumPy ยท Martin Pitt
| | p.migdal.pl
Learning Deep Learning with Keras - Piotr Migda?
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| | Don't be afraid of artificial neural networks - it is easy to start! An overview of deep learning with links to didactic materials.
| | mathspp.com
Neural networks fundamentals with Python - subtleties | mathspp
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| | In the fifth article of this short series we will be handling some subtleties that we overlooked in our experiment to classify handwritten digits from the...
| | mathspp.com
Neural networks fundamentals with Python - backpropagation | mathspp
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| | The third article of this short series concerns itself with the implementation of the backpropagation algorithm, the usual choice of algorithm used to...
| | blog.fastforwardlabs.com
"Hello world" in Keras (or, Scikit-learn versus Keras)
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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.