Télécharger Deep Reinforcement Learning Hands-On: Apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more Livre PDF Gratuit

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2018-06-21
Deep Reinforcement Learning Hands-On: Apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more - de Maxim Lapan (Author)

Caractéristiques Deep Reinforcement Learning Hands-On: Apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more

Le tableau ci-dessous contient les faits supplémentaires sur Deep Reinforcement Learning Hands-On: Apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more

Le Titre Du LivreDeep Reinforcement Learning Hands-On: Apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more
Publié Le2018-06-21
TraducteurGulsah Inessa
Numéro de Pages252 Pages
La taille du fichier44.58 MB
LangueFrançais et Anglais
ÉditeureLectio Publishing
ISBN-105348683184-VNB
Format de E-BookEPub AMZ PDF EGT OSHEET
ÉcrivainMaxim Lapan
Digital ISBN473-1450159334-HND
Nom de FichierDeep-Reinforcement-Learning-Hands-On-Apply-modern-RL-methods-with-deep-Q-networks-value-iteration-policy-gradients-TRPO-AlphaGo-Zero-and-more.pdf

Télécharger Deep Reinforcement Learning Hands-On: Apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more Livre PDF Gratuit

Cet article Deep Reinforcement Learning HandsOn Apply modern RL methods with deep Qnetworks value iteration… par Maxim Lapan Broché EUR 3417 En stock Expédié et vendu par Amazon

Deep Reinforcement Learning HandsOn Apply modern RL methods with deep Qnetworks value iteration policy gradients TRPO AlphaGo Zero and more ebook Maxim Lapan Auteur This practical guide will teach you how deep learning DL can be used to solve complex realworld problems

Deep Reinforcement Learning HandsOn is a comprehensive guide to the very latest DL tools and their limitations You will evaluate methods including Crossentropy and policy gradients before applying them to realworld environments

Bonjour Personnellement j’ai commencé avec HandsOn Machine Learning with ScikitLearn and TensorFlow lien Il est bien pour commencer le machine learning et aborder le Policy Gradient Method et DeepQ Network Tu as les code sur Tensorflow

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Lisez « Deep Reinforcement Learning HandsOn Apply modern RL methods with deep Qnetworks value iteration policy gradients TRPO AlphaGo Zero and more » de Maxim Lapan disponible chez Rakuten Kobo This practical guide will teach you how deep learning DL can be used to solve complex realworld