Improved Techniques for Training GANs

训练生成对抗网络的改进技巧.

生成对抗网络(Generative Adversarial Network)

Generative Adversarial Networks.本文目录： 理解生成对抗网络：博弈论视角、优化视角、能量模型视角、动力学视角 使用Pytorch实现生成对抗网络：MMGAN、NSGAN、合并交替优化 生成对抗网络的评估指...

Advancing mathematics by guiding human intuition with AI

用人工智能引导人类直觉推进数学发展.

Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets

Grokking：在小规模算术数据集上的过拟合外泛化.

自组织映射神经网络(Self-Organizing Map, SOM)

Self-Organizing Map.

Jurassic-1: Technical details and evaluation

Jurassic-1：技术细节与评估.