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Hello,
I cloned the repository and compiled the examples on my computer, I performed the training of MNIST, using the default parameters. However, when I test with the 4.jpg test image I get the ri…
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This layer is used in many early DNNs such as AlexNet, GoogLeNet, Inception, etc. so we need to implement it to support these models through ONNX.
For now, we have two **workarounds** to be made:
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Hi @neurosim, great work on the simulator, I've learnt a lot from it, however, I have a question.
Many works that use eNVMs for In-Memory Processing of DNNs have begun using Operation Units (OUs) i…
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https://doi.org/10.1101/163220
> Motivation: The powerful learning ability of a convolutional neural network (CNN) to perform functional classification of DNA/RNA sequences could provide valuable c…
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[Convergent Learning: Do different neural networks learn the same representations?](http://proceedings.mlr.press/v44/li15convergent.html)
Recent successes in training large, deep neural networks (DNN…
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Hi,
Thanks for creating this package. I am very happy to see a native ruby implementation for DNNs. I have been playing around with it to use in a machine learning class I am teaching.
I have a…
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- Paper:
[S. Wiedemann et al., "DeepCABAC: A Universal Compression Algorithm for Deep Neural Networks," IEEE Journal of selected topics in signal processing, May 2020.](https://arxiv.org/pdf/1905.08…
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### 🐛 Describe the bug
I would like to raise a concern about the spectral_norm parameterization.
I strongly believe that Spectral-Normalization Parameterization introduced several versions ago do…
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Wondering how feasible it would be to generate a schematics model from JSON Schema?