DeepMind Learning Machine - Next level moves in Artificial Intelligence
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Von Händler/Antiquariat, AHA-BUCH GmbH [51283250], Einbeck, Germany.
Neuware - Deep reinforcement learning has rapidly become one of the hottest research areas in the deep learning ecosystem. The fascination with reinforcement learning is related to the fact that, from all the deep learning modalities, is the one that resemble the most how humans learn. In the last few years, no company in the world has done more to advance the stage of deep reinforcement learning than Alphabet's subsidiary DeepMind. Since the launch of its famous AlphaGo agent, DeepMind has been at the forefront of reinforcement learning research. A few days ago, they published a new research that attempts to tackle one of the most challenging aspects of reinforcement learning solutions: multi-tasking. The ability to performing and learning similar tasks concurrently is essential to the development of the human mind. From the neuroscientific standpoint, multi-tasking remains largely a mystery and that, not surprisingly, we have had a heck of hard time implementing artificial intelligence (AI) agents that can efficiently learn multiple domains without requiring a disproportional amount of resources. This monograph is lucid introduction of DeepMind Learning Machine with simple theory. 64 pp. Englisch.

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Deep reinforcement learning has rapidly become one of the hottest research areas in the deep learning ecosystem. The fascination with reinforcement learning is related to the fact that, from all the deep learning modalities, is the one that resemble the most how humans learn. In the last few years, no company in the world has done more to advance the stage of deep reinforcement learning than Alphabet´s subsidiary DeepMind. Since the launch of its famous AlphaGo agent, DeepMind has been at the Deep reinforcement learning has rapidly become one of the hottest research areas in the deep learning ecosystem. The fascination with reinforcement learning is related to the fact that, from all the deep learning modalities, is the one that resemble the most how humans learn. In the last few years, no company in the world has done more to advance the stage of deep reinforcement learning than Alphabet´s subsidiary DeepMind. Since the launch of its famous AlphaGo agent, DeepMind has been at the forefront of reinforcement learning research. A few days ago, they published a new research that attempts to tackle one of the most challenging aspects of reinforcement learning solutions: multi-tasking. The ability to performing and learning similar tasks concurrently is essential to the development of the human mind. From the neuroscientific standpoint, multi-tasking remains largely a mystery and that, not surprisingly, we have had a heck of hard time implementing artificial intelligence (AI) agents that can efficiently learn multiple domains without requiring a disproportional amount of resources. This monograph is lucid introduction of DeepMind Learning Machine with simple theory. Sofort lieferbar Lieferzeit 1-2 Werktage.

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DeepMind Learning Machine: Deep reinforcement learning has rapidly become one of the hottest research areas in the deep learning ecosystem. The fascination with reinforcement learning is related to the fact that, from all the deep learning modalities, is the one that resemble the most how humans learn. In the last few years, no company in the world has done more to advance the stage of deep reinforcement learning than Alphabet`s subsidiary DeepMind. Since the launch of its famous AlphaGo agent, DeepMind has been at the forefront of reinforcement learning research. A few days ago, they published a new research that attempts to tackle one of the most challenging aspects of reinforcement learning solutions: multi-tasking. The ability to performing and learning similar tasks concurrently is essential to the development of the human mind. From the neuroscientific standpoint, multi-tasking remains largely a mystery and that, not surprisingly, we have had a heck of hard time implementing artificial intelligence (AI) agents that can efficiently learn multiple domains without requiring a disproportional amount of resources. This monograph is lucid introduction of DeepMind Learning Machine with simple theory. Englisch, Taschenbuch.

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Von Händler/Antiquariat, Sparbuchladen, [3602074].
Neuware - Deep reinforcement learning has rapidly become one of the hottest research areas in the deep learning ecosystem. The fascination with reinforcement learning is related to the fact that, from all the deep learning modalities, is the one that resemble the most how humans learn. In the last few years, no company in the world has done more to advance the stage of deep reinforcement learning than Alphabet's subsidiary DeepMind. Since the launch of its famous AlphaGo agent, DeepMind has been at the forefront of reinforcement learning research. A few days ago, they published a new research that attempts to tackle one of the most challenging aspects of reinforcement learning solutions: multi-tasking. The ability to performing and learning similar tasks concurrently is essential to the development of the human mind. From the neuroscientific standpoint, multi-tasking remains largely a mystery and that, not surprisingly, we have had a heck of hard time implementing artificial intelligence (AI) agents that can efficiently learn multiple domains without requiring a disproportional amount of resources. This monograph is lucid introduction of DeepMind Learning Machine with simple theory. -, 04.10.2018, Taschenbuch, Neuware, 220x150x4 mm, 111g, 64, Internationaler Versand, offene Rechnung (Vorkasse vorbehalten), Selbstabholung und Barzahlung, PayPal, Banküberweisung.

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Von Händler/Antiquariat, expressbuch24.
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Von Händler/Antiquariat, European-Media-Service Mannheim [1048135], Mannheim, Germany.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen