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Shen du qiang hua xue xi yu GAN ke cheng : shen du xue xi zhong de gao ji zhu ti.
深度强化学习与GAN课程 : 深度学习中的高级主题.
Detailed summary in vernacular field.
| Clasificación: | Libro Electrónico |
|---|---|
| Formato: | Electrónico Video |
| Idioma: | Chino Inglés |
| Publicado: |
[Place of publication not identified] :
Pearson,
2018.
|
| Edición: | [First edition]. |
| Colección: | LiveLessons (Indianapolis, Ind.)
|
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
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| 246 | 3 | |6 880-02 |a Shen du qiang hua xue xi yu Generative Adversarial Networks ke cheng | |
| 246 | 3 | |6 880-03 |a Shen du qiang hua xue xi he GANs shi pin jiao xue | |
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| 880 | 1 | 0 | |6 245-01/$1 |a 深度强化学习与GAN课程 : |b 深度学习中的高级主题. |
| 880 | 3 | |6 246-02/$1 |a 深度强化学习与 Generative Adversarial Networks 课程 | |
| 880 | 3 | |6 246-03/$1 |a 深度强化学习和GANs视频教学 | |
| 880 | |6 520-04/$1 |a 课程简介 视频描述 6小时以上的视频教学 直观地介绍了深度学习的最新发展 概述 深度强化学习和GAN 在线课程是对当今深度学习中最令人兴奋的两个主题的介绍. 生成 式对抗网络（Generative Adversarial Network，GAN）将两个深度学习网络以"伪造者-检测"的关系相互映射，从而能够制作出具有灵活的, 用戶可指定元素的令人惊叹的照片真实感图像. 深度强化学习也产生了同样令人惊讶的进步，包括大部分最广为人知的"人工智能"突破. Deep RL包括训练一名"代理人"在给定的"环境"中变得熟练，使算法能够在各种复杂挑战上达到或超过人类水平的表现，包括Atari视频游戏、棋类游戏围棋和微妙的手工操纵任务. 在这些课程中，基本理论通过直观的解释和互动的、动手操作的Jupyter笔记本演示变得栩栩如生。实例主要特点是使用以Python和Keras, 而Keras是最流行的深度学习库TensorFlow的高级API. Get技能 , 了解关于深度强化学习和生成式对抗网络的高级理论和关键语言. 设计GAN以便以人画插图的风格创造令人惊讶的图像 , 构建深度RL代理，使其能够熟练地在各种环境中执行操作，例如OpenAI Gym提供的环境. 运行自动化实验以优化深度强化学习代理参数，例如其人工神经网络配置. 了解"人工智能"目前的局限是什么，以及在不久的将来如何克服这些局限. | ||
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