GitHub topics: autonomous-deep-learning
reep0610/AGI-japanese-text-dataset-with-English-explanations
本教師データの導入により、ワーキングメモリはAIにおいて「心」の生成・維持を担う基盤的機構として機能すると考えられます。The introduction of this training data allows the working memory to function as a foundational mechanism responsible for the generation and maintenance of what may be considered a “mind” within AI systems.
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reep0610/AGI-japanese-text-dataset-for-Deep-Learning
本教師データの導入により、ワーキングメモリはAIにおいて「心」の生成・維持を担う基盤的機構として機能すると考えられます。The introduction of this training data allows the working memory to function as a foundational mechanism responsible for the generation and maintenance of what may be considered a “mind” within AI systems.
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reep0610/Self-Descriptive-Autonomous-Deep-Learning-Working-Memory-for-AGI
⚙️本教師データを用いることで、ワーキングメモリはAIにおいて「心」の生成・維持を担う基盤的機構として機能します。 By using this training data, working memory functions as a fundamental mechanism responsible for the generation and maintenance of a "mind" in AI.🙏今後も継続して制作を行っていくために、支援をいただけると大変励みになります。Your support would be greatly appreciated and encourage us to continue development.
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andriash001/ADL
This code refers to all experiments in our paper "Autonomous Deep Learning: Continual Learning Approach for Dynamic Environments"
Language: MATLAB - Size: 6.72 MB - Last synced at: almost 2 years ago - Pushed at: over 5 years ago - Stars: 2 - Forks: 1
andriash001/ADLPlus-DEVDANPlus
Modified version of ADL and DEVDAN: Implement multiple node growing scenario and adaptive synapses pruning
Language: MATLAB - Size: 61.5 KB - Last synced at: almost 2 years ago - Pushed at: almost 5 years ago - Stars: 1 - Forks: 0
andriash001/DEVDAN
An automated construction of a denoising autoeconder is presented here. It features an open structure both in the generative phase and in the discriminative phase where input features can be automatically added and discarded on the fly and free of the problem- specific threshold.
Language: MATLAB - Size: 5.28 MB - Last synced at: almost 2 years ago - Pushed at: over 5 years ago - Stars: 3 - Forks: 3