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From: Cem Bassoy (cem.bassoy_at_[hidden])
Date: 2021-01-06 09:32:15

Please consider to use and contribute to *Boost.uBlas*
<> which recently added *tensor* data
types and operations with the convenient Einstein notation :

tensor_t C = C + A(_i,_j,_k)*B(_j,_l,_i,_m) + 5;

More information is available at
We could add convolution and pooling functions into Boost.uBlas and provide
examples how to use them.

Feel free to contact me if you have any questions or also use for detailed discussion.


Am Do., 31. Dez. 2020 um 01:45 Uhr schrieb Sergei Marchenko via Boost <

> Hi everyone,
> I have a template-based library with several common types of layers which
> can be assembled into various neural networks:
>, and I would love to get community
> feedback on the overall design, any issues or missing features, and how
> interesting a library like that would be in general.
> I've been watching the trends and research reports in the AI/ML space, and
> I feel that the recent announcements of the successful models for image
> classification, computer vision or natural language processing, push the
> focus towards very complex and computationally intensive networks. However,
> I think that the idea behind multi-layer networks is very powerful, and is
> applicable in many domains, where even a small and lightweight model can be
> used successfully. I also think that if developers have an access to a
> library of building blocks that allows them to train and run NN anywhere a
> C++ code can run, it may encourage a lot of good applications.
> In the current state, the library is fairly small and should be easy to
> review. It was built with two main goals in mind:
> * Provide a collection of building blocks that share a common
> interface which allows plug'n'play construction of more complex NNs.
> * Compile-time verification of the internal consistency of the
> network. I.e. if a layer's output size does not match the next layer's
> input, it is caught at the very early stage.
> Once it seems like there is some consensus on the core design and
> usefulness of such library, I am willing to do the work necessary to make
> the library consistent with Boost requirements for naming convention,
> folder structure, unit tests etc. The library relies on the C++ 11 language
> features and has a dependency on just a few STL components, so I think it
> should be straightforward to merge into Boost.
> Best regards,
> Sergei Marchenko.
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