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What command for the lasagne implementation was passed for the MNIST experiment in the paper? In particular, what option modifies the fully connected layer to have 450 neurons?
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Self-Compressing Neural Networks is dynamic quantization-aware training that puts the size of the model in the loss
Paper: https://arxiv.org/pdf/2301.13142
Code: https://github.com/geohot/ai-noteb…
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**Environment (please complete the following information):**
- OS/OS Version:
- Android 14 (Galaxy S22 Ultra SM-S908N)
- Windows 11 23H2 build 22631.3880
- Source Version: v2.16.1-p1
- …
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When running the (robust) aggregator, if mnist data is not available, the aggregator crashes. Whilst downloading the data allows the aggregator to proceed, this seems to be not the desired behaviour.
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Hi,
I am getting the following error when trying to run the code with the default settings in config file for MNIST dataset:
ValueError: Cannot feed value of shape (48, 32, 32, 3) for Tensor u'fea…
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When I run `onnx-cpp mnist.onnx` I get the following error:
```shell
reading onnx model from file mnist.onnx
Model info:
ir_vesion : 7
doc :
WARN (ONNX): allowzero is not a valid…
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First of all, thank you for your contribution to this project.
Hello, I would like to ask what is the hidden_size used for each dataset in Table 1 in the paper? According to the parameter formula you…
zxk72 updated
1 month ago
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Hi,
I have generated the hdl files and taken all the files from /myproject_prj/solution1/impl/hdl/vhdl and loaded as source files in Vivado 2018.3. Now I ran simulation by forcing a constant as the i…
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could you please provide your mnist dataset? many thanks
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In your logistic regression ,from load import mnist?