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摘要[編輯]
| 描述 |
English: This diagram is based on the Figure 2 from this article: Ha, D., & Schmidhuber, J. (2018). Recurrent world models facilitate policy evolution. In Advances in Neural Information Processing Systems (pp. 2450-2462). I created an alternate version of that figure for the purpose of explaining certain neural network concepts in the Cantonese Wikipedia. |
| 日期 | |
| 來源 | 自己作品 |
| 作者 | Dr. Greywolf |
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我，呢份作品嘅作者，決定用以下許可發佈呢件作品：
 
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This file is made available under the Creative Commons CC0 1.0 Universal Public Domain Dedication. |
| The person who associated a work with this deed has dedicated the work to the public domain by waiving all of their rights to the work worldwide under copyright law, including all related and neighboring rights, to the extent allowed by law. You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission.
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| 日期／時間 | 縮圖 | 尺寸 | 用戶 | 註解 | |
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| 現時 | 2020年7月10號 (五) 12:52 | | 720 × 354（9 KB） | Dr. Greywolf（傾偈 | 貢獻） | {{Information |description ={{en|1=This diagram is based on the Figure 2 from this article: Ha, D., & Schmidhuber, J. (2018). Recurrent world models facilitate policy evolution. In Advances in Neural Information Processing Systems (pp. 2450-2462). I created an alternate version of that figure for the purpose of explaining certain neural network concepts in the Cantonese Wikipedia.}} |date =2020 July 10 |source ={{own}} |author =User:Dr. Greywolf }} |
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