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I've went through the DMN paper and have seen some of the examples they presented for the question answering implementation using the bAbi dataset and wanted to know weather we can acquire more than …
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# Putting the VM in TVM: The Relay Virtual Machine
We have previously introduced Relay, a new program representation, which is able to represent and optimize a greater breadth of machine learning…
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(**EDIT:** The following issue is only a minimal example of how to produce the error. My actual goal is to use a more complicated model instead of `Dropout()` here.)
When executing the following scri…
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The neural turing machine by @EderSantana is mentioned twice in the readme. but was removed long ago from the repo.
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understand_sentiment has three implementations in Fluid, based on `cnn model`, `static_rnn`, `dynamic_rnn`.
It has two implementations in V2. We **only need to compare the `static_rnn` one with V2**…
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is there going to be a rnn training example? say how to allocate the `workspace` shared between rnn forward and rnn backward?
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To efficiently train a GAN, you must be able to update different set of weights w.r.t different losses, in one forward pass. That's why all GAN implemented in Keras are instead using the inefficient m…
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I want to participate in GSoC and make a contribution in Flux.jl model zoo and implement the following algorithms
- RBMs
- Siamese nets
- SARSA(λ)
- TD(λ)
- An implementation of a sequence to se…
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Unlike optional inputs, optional outputs add no expressiveness or implementation flexibility. In a sense, all outputs of every operator are already optional - if the graph does not contain a consumer …