
Titre | Deep Reinforcement Learning Hands-On: Apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more (English Edition) |
Libéré | 2 years 20 days ago |
Des pages | 213 Pages |
Nom de fichier | deep-reinforcement-l_svEV6.pdf |
deep-reinforcement-l_NOFTk.aac | |
Taille | 1,253 KB |
Durées | 56 min 29 seconds |
Classification | MP3 96 kHz |
Deep Reinforcement Learning Hands-On: Apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more (English Edition)
Catégorie: Dictionnaires, langues et encyclopédies, Sports
Auteur: Annie Gray
Éditeur: Chimamanda Ngozi Adichie
Publié: 2019-09-13
Écrivain: Camille Fournier
Langue: Hollandais, Latin, Tagalog
Format: pdf, eBook Kindle
Auteur: Annie Gray
Éditeur: Chimamanda Ngozi Adichie
Publié: 2019-09-13
Écrivain: Camille Fournier
Langue: Hollandais, Latin, Tagalog
Format: pdf, eBook Kindle
State-of-the-Art Deep Learning Models in TensorFlow - Use TensorFlow 2.x in the Google Colab ecosystem to create state-of-the-art deep learning models guided by hands-on examples. The Colab ecosystem provides a free cloud service with easy access to on-demand GPU (and TPU) hardware acceleration for fast execution of the models you learn to build. This book teaches you state-of-the-art deep learning models in an applied manner with the only
What is Deep Learning? - Machine Learning Mastery - · Deep Learning is Large Neural Networks. Andrew Ng from Coursera and Chief Scientist at Baidu Research formally founded Google Brain that eventually resulted in the productization of deep learning technologies across a large number of Google services.. He has spoken and written a lot about what deep learning is and is a good place to start. In early talks on deep learning, Andrew described …
10 Best Deep Learning Books for Beginner & Experts in 2021 - · Advanced Deep Learning with Keras is a comprehensive guide to the advanced deep learning techniques available today so that you can create your own cutting-edge AI. Using Keras is an open-source deep-learning library, the book gives you hands-on projects that show you how to create more effective AI with the latest techniques. It gives an overview of MLPs, CNNs, and RNNs, which …
State-of-the-Art Deep Learning Models in TensorFlow - Use TensorFlow 2.x in the Google Colab ecosystem to create state-of-the-art deep learning models guided by hands-on examples. The Colab ecosystem provides a free cloud service with easy access to on-demand GPU (and TPU) hardware acceleration for fast execution of the models you learn to build. This book teaches you state-of-the-art deep learning models in an applied manner with the only
Advanced Machine Learning | Coursera - This specialization gives an introduction to deep learning, reinforcement learning, natural language understanding, computer vision and Bayesian methods. Top Kaggle machine learning practitioners and CERN scientists will share their experience of solving real-world problems and help you to fill the gaps between theory and practice. Upon completion of 7 courses you will be able to apply modern
Deep Reinforcement Learning - 1. DDPG原理和算法_kenneth_yu … - Deep Reinforcement Learning Hands-On. 10-05. Deep Reinforcement Learning Hands-On Apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more by Maxim Lapan Publisher: Packt Publishing Release Date: June 2018 ISBN: 9781788834247 【深度强化学习】DDPG算法. chy的博客. 07-18 3740 确定性策略梯度(Deterministic Policy Gradient
10 Best Machine & Deep Learning Certification Courses [2021] - · Learn how to apply machine learning algorithms to building smart robots (perception, control), text understanding (web search, anti-spam), computer vision, medical informatics, audio, database mining, and other areas ; Flexible deadlines and opportunity to learn at your own pace and schedule; Duration : Approx 55 hours, 7 hours per week Rating : 4.9 Sign up Here. 2. Deep Learning …
Reinforcement Learning | Coursera - Reinforcement Learning is a subfield of Machine Learning, but is also a general purpose formalism for automated decision-making and AI. This course introduces you to statistical learning techniques where an agent explicitly takes actions and interacts with the world. Understanding the importance and challenges of learning agents that make decisions is of vital importance today, with more and
Deep Reinforcement Learning Online Course - Udacity - · Deep Reinforcement Learning. Learn cutting-edge deep reinforcement learning algorithms—from Deep Q-Networks (DQN) to Deep Deterministic Policy Gradients (DDPG). Apply these concepts to train agents to walk, drive, or perform other complex tasks, and build a robust portfolio of deep reinforcement learning projects
GitHub - PacktPublishing/Advanced-Deep-Learning-with-Keras - Advanced Deep Learning with TensorFlow 2 and Keras (Updated for 2nd Edition) This is the code repository for Advanced Deep Learning with TensoFlow 2 and Keras, published by contains all the supporting project files necessary to work through the book from start to finish
[epub], [pdf], [download], [english], [online], [read], [audiobook], [goodreads], [kindle], [audible], [free]
0 komentar:
Posting Komentar
Catatan: Hanya anggota dari blog ini yang dapat mengirim komentar.