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I noticed that you have used **ChannelwiseConvolution** in `mobilenet-symbol.json` file and `mobilenet-faster.py`. I am using mxnet of version 0.11.1, do i have to use **ChannelwiseConvolution** with …
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The authors of the Wavenet paper propose a variation of dilated 1d convolutions for temporal data dubbed causal dilated convolutions, which essentially implies that `output[t]` relies solely on input …
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Running the command `torch_out = torch.onnx._export(torch_model, x, "saved_model.onnx", export_params=False)` for custom model architecture produces following error:
Traceback (most recent call la…
elboy updated
7 years ago
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Let's discuss if we are going to use 2D or 3D data as input for the initial model.
Both probably have advantages and disadvantages, and having an overview hopefully helps us make a better decision.
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(Edited for clarity)
We were taking a look at 1D convolutions now, and it looks like they aren't doing what we would expect according to Kim 2014: http://aclweb.org/anthology/D/D14/D14-1181.pdf
Fo…
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The _Wasserstein GAN_ I'm training is presenting mode collapse behavior. There are 5 conditions and the samples associated with each condition each have one single mode.
The critic loss graph shows w…
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Basics
http://code.cogbits.com/wiki/doku.php?id=tutorial_basics
Loading data in Torch (is a mess)
http://fastml.com/loading-data-in-torch-is-a-mess/
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Hello,
I'm training on a natural scene dataset whose images are different sizes. I'm using several convolutional layers followed by a layers.dnn.SpatialPoolingDNNLayer to standardise the sizes befo…
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Here's the `backend` branch, introducing `theano_backend.py` and `tensorflow_backend.py`: https://github.com/fchollet/keras/tree/backend/keras/backend
It's still a work in progress. It contains 95% o…
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Is a temporal convolutions/pooling implementation coming in the near future? This will allow me to accelerate my model using the GPU.
Thanks