Sprache:
Englisch
Seiten:
1 online resource (1 streaming video file (5 hr., 4 min., 1 sec.))
,
digital, sound, color
Serie:
LiveLessons
Schlagwort(e):
Machine learning
;
Natural language processing (Computer science)
;
Recommender systems (Information filtering)
;
Reinforcement learning
;
Artificial intelligence
;
Electronic videos ; local
Kurzfassung:
"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.
Anmerkung:
Title from title screen (Safari, viewed March 12, 2018). - Release date from resource description page (Safari, viewed March 12, 2018)
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