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Hi everyone!
I'm using brainstorm for multivariable regression with LSTM network and I've just noticed that the `SquaredDifference.outputs.default` values are exactly half of the real squared errors.…
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**What is the method?**
Describe it briefly and include a citation.
A DL-based approach (siamese networks) for dimensionality reduction https://www.nature.com/articles/s41598-019-45301-0
that prese…
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## Why
Machine Learning 輪講は最新の技術や論文を追うことで、エンジニアが「技術で解決できること」のレベルをあげていくことを目的にした会です。
prev.
## What
話したいことがある人はここにコメントしましょう!
面白いものを見つけた時点でとりあえず話すという宣言だけでもしましょう!
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### Cautions:
**Before starting the task, please refer to [Add data of ML-YouTube-Courses](https://github.com/orgs/ocademy-ai/projects/3/views/1?filterQuery=label%3Adata&pane=issue&itemId=36101499)…
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Kinetic discriminatory metric learning: http://pubs.acs.org/doi/abs/10.1021/ct400132h
Questions:
- Can any aspects of the learned distance metric generalize across protein examples?
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To train nets:
- we generate millions of selfplay games at a given visit number (1600 visits currently)
- we then only use ~10% of the positions generated to train candidate nets (the ~10% has to be…
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I have been running the code with the mnist successfully.But when I converted the dataset into 10000 64*64-size pictures of myself,the problem arose.
Embeddings which I use have dimensionality of 1…
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Batch size is 2048. Getting the training data from the q I see
x_train, y_train = train_q.get()
print('X.. ' + str(x_train.shape) + ' Y.. ' + str(y_train.shape))
X.. (2048, 2980) Y.…
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Hi,
I'm been implementing you paper in Keras using Albert instead of Bert. I'm quite certain I've followed almost the exact setup presented in the paper in the code in this repo but I'm having diff…