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Deep reinforcement learning and GANS Livelessons /
"Deep Reinforcement Learning and GANs (Generative Adversarial Networks) LiveLessons is an introduction to two of the most exciting topics in Deep Learning today. Generative Adversarial Networks cast two Deep Learning networks against each other in a "forger-detective" relationship, en...
| Clasificación: | Libro Electrónico |
|---|---|
| Formato: | Electrónico Video |
| Idioma: | Inglés |
| Publicado: |
[Place of publication not identified] :
Pearson,
[2018]
|
| Colección: | LiveLessons.
|
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 100 | 1 | |a Krohn, Jon, |e on-screen presenter. | |
| 245 | 1 | 0 | |a Deep reinforcement learning and GANS Livelessons / |c Dr. Jon Krohn. |
| 246 | 3 | |a Deep reinforcement learning and Generative Adversarial Networks Livelessons | |
| 264 | 1 | |a [Place of publication not identified] : |b Pearson, |c [2018] | |
| 300 | |a 1 online resource (1 streaming video file (5 hr., 4 min., 1 sec.)) | ||
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| 490 | 1 | |a LiveLessons | |
| 500 | |a Title from title screen (Safari, viewed March 12, 2018). | ||
| 500 | |a Release date from resource description page (Safari, viewed March 12, 2018). | ||
| 511 | 0 | |a Presenter, Dr. Jon Krohn. | |
| 520 | |a "Deep Reinforcement Learning and GANs (Generative Adversarial Networks) LiveLessons is an introduction to two of the most exciting topics in Deep Learning today. Generative Adversarial Networks cast two Deep Learning networks against each other in a "forger-detective" relationship, enabling the fabrication of stunning, photorealistic images with flexible, user-specifiable elements. Deep Reinforcement Learning has produced equally surprising advances, including the bulk of the most widely-publicized "artificial intelligence" breakthroughs. Deep RL involves training an "agent" to become adept in given "environments," enabling algorithms to meet or surpass human-level performance on a diverse range of complex challenges, including Atari video games, the board game Go, and subtle hand-manipulation tasks. Throughout these lessons, essential theory is brought to life with intuitive explanations and interactive, hands-on Jupyter notebook demos. Examples feature Python and Keras, the high-level API for TensorFlow, the most popular Deep Learning library."--Resource description page | ||
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 650 | 0 | |a Machine learning. | |
| 650 | 0 | |a Natural language processing (Computer science) | |
| 650 | 0 | |a Recommender systems (Information filtering) | |
| 650 | 0 | |a Reinforcement learning. | |
| 650 | 0 | |a Artificial intelligence. | |
| 650 | 2 | |a Natural Language Processing | |
| 650 | 2 | |a Artificial Intelligence | |
| 650 | 6 | |a Apprentissage automatique. | |
| 650 | 6 | |a Traitement automatique des langues naturelles. | |
| 650 | 6 | |a Systèmes de recommandation (Filtrage d'information) | |
| 650 | 6 | |a Apprentissage par renforcement (Intelligence artificielle) | |
| 650 | 6 | |a Intelligence artificielle. | |
| 650 | 7 | |a artificial intelligence. |2 aat | |
| 650 | 7 | |a Artificial intelligence. |2 fast |0 (OCoLC)fst00817247 | |
| 650 | 7 | |a Machine learning. |2 fast |0 (OCoLC)fst01004795 | |
| 650 | 7 | |a Natural language processing (Computer science) |2 fast |0 (OCoLC)fst01034365 | |
| 650 | 7 | |a Recommender systems (Information filtering) |2 fast |0 (OCoLC)fst01743365 | |
| 650 | 7 | |a Reinforcement learning. |2 fast |0 (OCoLC)fst01732553 | |
| 830 | 0 | |a LiveLessons. | |
| 856 | 4 | 0 | |u https://learning.oreilly.com/videos/~/9780135171233/?ar |z Texto completo (Requiere registro previo con correo institucional) |
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