-
demo code is:
```
with DeepExplain(session=sess) as de:
explainer = de.get_explainer('deeplift', T=model[1], X=model[0],
baseline=df_train_feature.values[0].a…
-
It hard to under this concept? I have some questions on it
1) How to obtain object query? is it from the image? who is responsible to design it?
2) What does it look like? is it a vector?
3) Dur…
-
Hey, thanks for your excellent work!
I noticed that in your paper, you gave the visualized interpretation which help us understand what the network learned.
For this interesting result, I wanna …
-
## Train BERT and other large models on smartphones
### Model description
`POET` enables the training of state-of-the-art memory-hungry ML models on smartphones and other edge devices. POET (Pri…
-
### What would you like to share?
I want to try to improve the implementation `neural_network /simple_neural_network.py` because it's currently one of the slowest files by far during build tests and …
-
Currently `EnsembleProblem` does not have progress bars, i.e. using `progress = true` within `solve` does not result in a progress bar. To get around this I currently use the following to get access t…
-
Run [this](https://github.com/pytorch/examples/tree/main/imagenet) example with 2 GPUs.
process 2 will allocate some memory on GPU 0.
```
python main.py --multiprocessing-distributed --world-size 1…
-
TicTacToe has only a few thousand states, but for most applications the number of states will be more than will fit in memory. In those cases, some sort of approximation like nerual nets must be used.…
-
https://arxiv.org/pdf/1611.01232.pdf
We study the behavior of untrained neural networks whose weights and biases are randomly distributed using mean field theory. We show the existence of depth sca…
leo-p updated
7 years ago
-
## 一言でいうと
CNNモデルの出力結果に対する可視化手法であるGrad-CAMの提案。入力画像に対する注目領域の可視化を行う。image captioningやvisual question answering(VQA)モデルにも適用可能。
行われている操作は以下のとおり。
(1) guided backpropagationで得られたサリエンシーマップを作成
(2) target c…