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After training I want to extract the hidden layer representation of the given data instead of the final probabilities. How can I do it with Keras?
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雑にまとめてるので関係ないのも入ってるかもしれません。
タイトルしか載せてないのですが、とりあえず abst 目を通したら情報足します。
### Personalizing Dialogue Agents: I have a dog, do you have pets too?
https://arxiv.org/abs/1801.07243
submitted on 2018/01/…
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Sorry if it sounds silly and not the right place to ask it. But I felt it could solve it better than posting it anywhere else. I am little confused with the concept, Graph embedding gives a numerical …
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Hi all,
I'm trying to use NEConvolutionLayer to implement some fast convolution algorithms, and I need to be able to set arm_compute::BorderMode to different values in order to get this to work.
N…
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**Describe the feature and the current behavior/state.**
layers are super fun to write and use and can be quite powerful
**Relevant information**
- Are you willing to contribute it (yes/no): yes
…
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Dear all,
I'm new to deepchem and graph convolution.
I tried to run the source of "Graph Convolutions For Tox21" following URL.
https://deepchem.io/docs/notebooks/graph_convolutional_networks_f…
lch85 updated
5 years ago
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Hi, I've checked the 'get_model_pool' function in 'model.py' and found no unpooling layer. Can we just use strided convolution layer here? As the authors stated in "Convolutional Neural Networks on Gr…
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# Next paper candidates
Let's propose papers to study next! All papers mentioned in the comments of this issue will be listed in the next vote.
## Last session runner-up
[Graph Attention Networ…
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# Next paper candidates
Let's propose papers to study next! All papers mentioned in the comments of this issue will be listed in the next vote.