Cargando…

TensorFlow reinforcement learning quick start guide : get up and running with training and deploying intelligent, self-learning agents using Python /

Mostrar otras versiones (2)

Detalles Bibliográficos
Clasificación:	Libro Electrónico
Autor principal:	Balakrishnan, Kaushik (Autor)
Formato:	Electrónico eBook
Idioma:	Inglés
Publicado:	Birmingham, UK : Packt Publishing, 2019.
Temas:	TensorFlow. Reinforcement learning. Neural networks (Computer science) Python (Computer program language) Artificial intelligence. Apprentissage par renforcement (Intelligence artificielle) Réseaux neuronaux (Informatique) Python (Langage de programmation) Intelligence artificielle. artificial intelligence.
Acceso en línea:	Texto completo (Requiere registro previo con correo institucional)

Ejemplares similares

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

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

Python Reinforcement Learning : Solve Complex Real-World Problems by Mastering Reinforcement Learning Algorithms Using OpenAI Gym and TensorFlow /
por: Ravichandiran, Sudharsan, et al.
Publicado: (2019)

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

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

Applied reinforcement learning with Python : with OpenAI Gym, Tensorflow and Keras /
por: Beysolow, Taweh
Publicado: (2019)

Applied neural networks with TensorFlow 2 : API oriented deep learning with Python /
por: Yalçın, Orhan Gazi
Publicado: (2021)

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

Deep Learning with TensorFlow 2 and Keras : Regression, ConvNets, GANs, RNNs, NLP, and more with TensorFlow 2 and the Keras API, 2nd Edition. /
por: Gulli, Antonio
Publicado: (2019)

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

Hands-on reinforcement learning with Python : master reinforcement and deep reinforcement learning using OpenAI Gym and TensorFlow /
por: Ravichandiran, Sudharsan
Publicado: (2018)

Deep learning with TensorFlow and Keras /
por: Kapoor, Amita, et al.
Publicado: (2022)

ADVANCED DEEP LEARNING WITH TENSORFLOW 2 AND KERAS : APPLY DL, GANS, VAES, DEEP RL, UNSUPERVISED LEARNING, OBJECT DETECTION AND SEGMENTATION, AND MORE.
por: Atienza, Rowel
Publicado: (2020)

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

The Reinforcement Learning Workshop Learn How to Apply Cutting-Edge Reinforcement Learning Algorithms to a Wide Range of Control Problems.
por: Palmas, Alessandro
Publicado: (2020)

Hands-on convolutional neural networks with TensorFlow : solve computer vision problems with modeling in TensorFlow and Python /
por: Zafar, Iffat
Publicado: (2018)

TensorFlow for deep learning : from linear regression to reinforcement learning /
por: Ramsundar, Bharath, et al.
Publicado: (2018)

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

Python deep learning : exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow /
por: Vasilev, Ivan
Publicado: (2019)

Python deep learning : exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow /
por: Vasilev, Ivan
Publicado: (2019)

Deep learning with PyTorch /
Publicado: (2018)

Deep Learning with PyTorch (Audiobook) /
por: Stevens, Eli, et al.
Publicado: (2020)

Artificial intelligence and machine learning fundamentals /
Publicado: (2019)

Building Recommender systems with machine learning and AI /
Publicado: (2018)

Image analysis and text classification using CNNs in PyTorch : learn to build powerful image and document classifiers in minutes /
Publicado: (2018)

Python fundamentals /
Publicado: (2019)

Advanced deep learning with Keras : apply deep learning techniques, autoencoders, GANs, variational autoencoders, deep reinforcement learning, policy gradients, and more /
por: Atienza, Rowel
Publicado: (2018)

Advanced deep learning with TensorFlow 2 and Keras : apply DL, GANs, VAEs, deep RL, unsupervised learning, object detection and segmentation, and more /
por: Atienza, Rowel
Publicado: (2020)

Keras 2.x projects : 9 projects demonstrating faster experimentation of neural network and deep learning applications using Keras /
por: Ciaburro, Giuseppe
Publicado: (2018)

Neural network projects with Python : the ultimate guide to using Python to explore the true power of neural networks through six projects /
por: Loy, James
Publicado: (2019)

Neural network projects with Python : the ultimate guide to using Python to explore the true power of neural networks through six projects /
por: Loy, James
Publicado: (2019)

Keras deep learning cookbook : over 30 recipes for implementing deep neural networks in Python /
por: Dua, Rajdeep, et al.
Publicado: (2018)

Learn Python in five minutes with Colab Notebook.
Publicado: (2022)

Reinforcement learning in motion /
Publicado: (2019)

Introduction to deep learning using PyTorch : create simple neural networks in Python using PyTorch /
Publicado: (2018)

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

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

Coding neural networks with TensorFlow 2.0.
Publicado: (2020)

Deep reinforcement learning with Python : with Pytorch, Tensorflow and OpenAI Gym /
por: Sanghi, Nimish
Publicado: (2021)

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

Cannot write session to /tmp/vufind_sessions/sess_4hdm408qog2a55l9vbensh2bog