-
Suggested list of courses would be:
- An introduction to deep learning **
- How to train a neural network
- Regularisation in neural networks
- Deep Bayesian neural networks
- Conv…
-
## 一言でいうと
テキストアドベンチャーゲームを、強化学習＋知識グラフで攻略したという研究。ゲームは選択肢で分岐して進むため、得られた状態で内部のグラフを更新していく。グラフ表現(Graph Convolution + Attention)+テキスト表現(一定範囲のBi-LSTM)で行動価値を出力する(行動数はグラフで絞り込む)。
### 論文リンク
https://arxiv…
-
[Graph contrastive learning with augmentations](https://proceedings.neurips.cc/paper_files/paper/2020/hash/3fe230348e9a12c13120749e3f9fa4cd-Abstract.html)
```bib
@article{you2020graph,
title={Gra…
-
### Search before asking
- [X] I have searched the Ultralytics YOLO [issues](https://github.com/ultralytics/ultralytics/issues) and [discussions](https://github.com/ultralytics/ultralytics/discussion…
-
### SOSP2020
[[PDF](https://dl.acm.org/doi/pdf/10.1145/3341301.3359630)]
Related to [2019 SysML -- OPTIMIZING DNN COMPUTATION WITH RELAXED GRAPH SUBSTITUTIONS](https://github.com/joapolarbear/dl_not…
-
Traceback (most recent call last):
File "D:/Code/CodePycharm/Deep_Learning/segment/Efficient-Segmentation-Networks-master/train.py", line 409, in
train_model(args)
File "D:/Code/CodePychar…
-
### API
Python
### Description
Hi Kuzu Team,
I'd like to request a feature to export graphs from Kuzu to the Python `graph-tool` package. This would allow users to seamlessly integrate Kuz…
-
### Describe the feature and motivation
G-API is quite interesting technology following a long tradition of graph engines. It's targeted for efficient streaming video/image processing on a variety …
-
What do you think of adding Graph Convolutional Networks in a new section on ML and deep learning?
Here are some references:
* https://tkipf.github.io/graph-convolutional-networks/
* https://gi…
-
### **1. Quantum-Like Enhancements**
#### **a. Unitary Gate Operations**
- Implement additional quantum gates such as:
- **Pauli Gates (X, Y, Z)**: For flipping states or introducing phase sh…