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Cant make it work.
I have sequence of vectors size 240 as features and one label per sequence; so this is sequence-to-one.
Simple LSTM setup with `BS.Sequences.Last` and dynamic axis works OK.
But,…
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Option to incorporate a convolutional layer in front of LSTM models. Helps w/ sensitivity to delay, and generally improves training.
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Hi, I have networks consisting of LSTM, Convolutional and Dense layers, and some BatchNormalization and Concatenate layers. There is also a lambda layer which performs a very simple function - picking…
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related paper
|摘要|
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|We consider the problem of predicting semantic segmentation of future frames in a video. Given several observed frames in a video, our goal is to predict the semantic se…
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_Edit: DOI link https://doi.org/10.1007/978-3-319-21233-3_6_
Hi Dr. Greene et al.,
Here is another paper that I found to have a quite interesting premise: https://arxiv.org/pdf/1503.01919.pdf (apolo…
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The [build documentation](https://oneapi-src.github.io/oneDNN/dev_guide_build_options.html#onednn-enable-primitive-gpu-isa) claims that generic OpenCL kernels are always available. I wanted to verify …
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### Feature
I kindly request the addition of support for the Kronecker-Factored Approximate Curvature (KFAC) optimization technique in LSTM and GRU layers within the existing KFAC Optimizer. Curren…
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We now have the reasonable capacity to perform time series forecasting via reduction to regression. Some bespoke forecasting architectures would also be good to implement too, though.
@mloning thi…
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