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- [x] more data augmentation and transforms
- [x] make intel classification network bigger
- [x] plot loss after training
- [x] use tensorboard for monitoring
- [x] use learning rate scheduler
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Before I forget my thoughts on this topic, I was chatting with @sudomaze today in a stream and we had a great exchange that is looking far into the future. Not even sure when we could work on this but…
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Hello, can you help me? I tried to learn neural network but I have this result: Using TensorFlow backend.
/usr/local/lib/python2.7/dist-packages/sklearn/cross_validation.py:44: DeprecationWarning: Th…
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Hi,
How would you extend your wrappers to build a GGNN layer (based on Microsoft's https://github.com/Microsoft/gated-graph-neural-network-samples)?
I am interested in refactoring https://github…
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## 論文タイトル(原文まま)
STATISTICAL PARAMETRIC SPEECH SYNTHESIS USING DEEP NEURAL NETWORKS
## 一言でいうと
深層ニューラルネットワーク(DNN)を用いて、従来のHMMベースの音声合成手法の制約を克服し、より高品質な音声合成を実現する。
### 論文リンク
[STATISTICAL PARAMETRIC …
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### Describe the issue
Hi, I'm working on neural networks using intel Arc GPU.
I find that intel-extension-for-pytorch has the feature "DPC++ Extension", which can use dpc++ op.
I also find a libra…
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- Implement sample neural networks:
- [ ] Dense-Small
- [ ] Dense-Medium
- [ ] Dense-Large
- [ ] CNN-Small
- [ ] CNN-Medium
- [ ] CNN-Large
- These networks feature fixed arcitectures
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[Quantum chemistry-augmented neural networks for reactivity prediction: Performance, generalizability, and explainability, JCP 2022](https://aip.scitation.org/doi/full/10.1063/5.0079574)
kntkb updated
2 years ago