深度 | DeepMind官方深度解读：使用合成梯度的解耦神经接口（附论文）
DeepMind 开发的许多算法都使用到了神经网络。例如，AlphaGo 使用卷积神经网络对围棋棋盘进行评估。同时在电子游戏中，DQN 与深度强化学习算法使用神经网络来选择操作，从而在视频游戏上实现了超人级的水平。8 月 20 号，机器之心发布的文章《 学界 | 谷歌DeepMind最新论文：使用合成梯度的解耦神经接口 》介绍了他们在此方面的新研究。今日，DeepMind
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