Loading…

TensorFlow for deep learning : from linear regression to reinforcement learning /

Show other versions (1)

Bibliographic Details
Call Number:	Libro Electrónico
Main Authors:	Ramsundar, Bharath (Author), Zadeh, Reza Bosagh (Author)
Format:	Electronic eBook
Language:	Inglés
Published:	Sebastopol, CA : O'Reilly Media, [2018]
Edition:	First edition.
Subjects:	Machine learning. Reinforcement learning. Artificial intelligence. Artificial Intelligence Apprentissage automatique. Apprentissage par renforcement (Intelligence artificielle) Intelligence artificielle. artificial intelligence.
Online Access:	Texto completo (Requiere registro previo con correo institucional)

Similar Items

Chu tan shen du xue xi : shi yong TensorFlow = TensorFlow for deep learning : from linear regression to reinforcement learning /
by: Ramsundar, Bharath, et al.
Published: (2018)

Reinforcement learning in motion /
Published: (2019)

Hands-on intelligent agents with OpenAI Gym : a step-by-step guide to develop AI agents using deep reinforcement learning /
by: Palanisamy, Praveen
Published: (2018)

Hands-on intelligent agents with OpenAI Gym : a step-by-step guide to develop AI agents using deep reinforcement learning /
by: Palanisamy, Praveen
Published: (2018)

TensorFlow pour le Deep learning
by: Ramsundar, Bharath
Published: (2018)

Hands-on Q-learning with Python : practical Q-learning with OpenAI Gym, Keras, and TensorFlow /
by: Habib, Nazia
Published: (2019)

Making reinforcement learning practical for real-world developers /
Published: (2019)

Reinforcement learning with TensorFlow : a beginner's guide to designing self-learning systems with TensorFlow and OpenAI Gym /
by: Dutta, Sayon
Published: (2018)

Reinforcement learning with TensorFlow : a beginner's guide to designing self-learning systems with TensorFlow and OpenAI Gym /
by: Dutta, Sayon
Published: (2018)

Reinforcement learning algorithms with Python : learn, understand, and develop smart algorithms for addressing AI challenges /
by: Lonza, Andrea
Published: (2019)

Deep learning and the game of Go /
by: Pumperla, Max, et al.
Published: (2019)

Reinforcement learning : with Open AI, TensorFlow and Keras using Python /
by: Nandy, Abhishek, et al.
Published: (2018)

Deep reinforcement learning and GANS Livelessons /
Published: (2018)

Deep reinforcement learning hands-on : apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more /
by: Lapan, Maxim
Published: (2018)

Deep reinforcement learning hands-on : apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more /
by: Lapan, Maxim
Published: (2018)

Deep reinforcement learning hands-on : apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more /
by: Lapan, Maxim
Published: (2018)

Reinforcement Learning : An Introduction /
by: Sutton, Richard S.
Published: (1998)

Deep Reinforcement Learning in Action /
by: Brown, Brandon, et al.
Published: (2020)

Deep learning with TensorFlow : take your machine learning knowledge to the next level with the power of TensorFlow /
by: Zaccone, Giancarlo, et al.
Published: (2017)

Machine learning with TensorFlow /
by: Shukla, Nishant, 1992-
Published: (2018)

TensorFlow reinforcement learning quick start guide : get up and running with training and deploying intelligent, self-learning agents using Python /
by: Balakrishnan, Kaushik
Published: (2019)

Introduction to deep learning models with TensorFlow : learn how to work with TensorFlow to create and run a TensorFlow graph, and build a deep learning model /
Published: (2017)

Hands-on reinforcement learning for games : implementing self-learning agents in games using artificial intelligence techniques /
by: Lanham, Micheal
Published: (2020)

Hands-on reinforcement learning for games : implementing self-learning agents in games using artificial intelligence techniques /
by: Lanham, Micheal
Published: (2020)

Getting started with TensorFlow /
by: Géron, Aurélien
Published: (2017)

Introduction to TensorFlow-Slim : complex TensorFlow model building and training made easy /
Published: (2017)

Advancing our understanding of deep reinforcement learning with community-driven insights /
Published: (2019)

TensorFlow model optimization : quantization and pruning /
Published: (2020)

Reinforcement Learning with TensorFlow : a beginner's guide to designing self-learning systems with TensorFlow and OpenAI Gym.
by: DUTTA, SAYON
Published: (2018)

Advanced model deployments with TensorFlow serving /
Published: (2020)

Working with TensorFlow Lite on Android with C++ /
Published: (2020)

State-of-the-art deep learning models in Tensorflow : modern machine learning in the Google colab ecosystem /
by: Paper, David
Published: (2021)

Hello, TensorFlow! : building and training your first TensorFlow graph from the ground up /
by: Schumacher, Aaron
Published: (2016)

Keras reinforcement learning projects : 9 projects exploring popular reinforcement learning techniques to build self-learning agents /
by: Ciaburro, Giuseppe
Published: (2018)

Training, evaluating, and tuning deep neural network models with TensorFlow-Slim : advanced topics in training, evaluating, and tuning deep neural network models /
Published: (2017)

Training a reinforcement learning agent to play soccer (football).
Published: (2020)

Statistical reinforcement learning : modern machine learning approaches /
by: Sugiyama, Masashi, 1974-
Published: (2015)

Shen du qiang hua xue xi yu GAN ke cheng : shen du xue xi zhong de gao ji zhu ti.
Published: (2018)

TensorFlow in action /
by: Ganegedara, Thushan
Published: (2022)

Foundations of deep reinforcement learning : theory and practice in Python /
by: Graesser, Laura, et al.
Published: (2020)

Cannot write session to /tmp/vufind_sessions/sess_m5le917bk1hau55im01q87p7cd