Mastering Reinforcement Learning with Python : Build next-generation, self-learning models using reinforcement learning techniques and best practices

Mastering Reinforcement Learning with Python : Build next-generation, self-learning models using reinforcement learning techniques and best practices

Uloženo v:

Podrobná bibliografie
Hlavní autor:	Bilgin, Enes. (Autor)
Médium:	E-Book
Jazyk:	Anglais
Vydáno:	Birmingham : Packt Publishing, 2020.
Autres localisations:	Voir dans le Sudoc
On-line přístup:	Accès à l'E-book

Podobné jednotky

Hands-on reinforcement learning with Python : master reinforcement and deep reinforcement learning using OpenAI Gym and TensorFlow
Autor: Ravichandiran, Sudharsan.
Vydáno: (2018)

Python reinforcement learning : solve complex real-world problems by mastering reinforcement learning algorithms using OpenAI Gym and TensorFlow
Vydáno: (2019)

Python reinforcement learning projects : eight hands-on projects exploring reinforcement learning algorithms using TensorFlow
Autor: Saito, Sean.
Vydáno: (2018)

Keras reinforcement learning projects : 9 projects exploring popular reinforcement learning techniques to build self-learning agents
Autor: Ciaburro, Giuseppe (19..-....).
Vydáno: (2018)

Reinforcement Learning Algorithms with Python : Learn, understand, and develop smart algorithms for addressing AI challenges
Autor: Lonza, Andrea.
Vydáno: (2019)

Hands-On Reinforcement Learning for Games : Implementing self-learning agents in games using artiﬁcial intelligence techniques
Autor: Lanham, Micheal.
Vydáno: (2020)

Practical Deep Reinforcement Learning with Python : Concise Implementation of Algorithms, Simplified Maths, and Effective Use of TensorFlow and PyTorch
Autor: Gridin, Ivan.

The Reinforcement Learning Workshop : Learn how to apply cutting-edge reinforcement learning algorithms to a wide range of control problems
Autor: Palmas, Alessandro.
Vydáno: (2020)

Deep Reinforcement Learning with Python : Master classic RL, deep RL, distributional RL, inverse RL, and more with OpenAI Gym and TensorFlow
Autor: Ravichandiran, Sudharsan.
Vydáno: (2020)

PyTorch 1.x reinforcement learning cookbook : over 60 recipes to design, develop, and deploy self-learning AI models using Python
Autor: Liu, Yuxi (Hayden).
Vydáno: (2019)

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

Deep Reinforcement Learning Hands-On : Apply modern RL methods to practical problems of chatbots, robotics, discrete optimization, web automation, and more
Autor: Lapan, Maxim.
Vydáno: (2020)

TensorFlow 2 Reinforcement Learning Cookbook : Over 50 recipes to help you build, train, and deploy learning agents for real-world applications
Autor: Palanisamy, Praveen.
Vydáno: (2021)

TensorFlow Reinforcement Learning Quick Start Guide : Build and manage any business on top of the Google Cloud infrastructure
Autor: Balakrishnan, Kaushik.
Vydáno: (2019)

Python Machine Learning By Example : Unlock machine learning best practices with real-world use cases
Autor: Liu, Yuxi (Hayden).

Reinforced Concrete Design
Autor: Aghayere, Abi.

Deep Learning with TensorFlow and Keras : Build and deploy supervised, unsupervised, deep, and reinforcement learning models
Autor: Kapoor, Amita.
Vydáno: (2022)

Hands-On Ensemble Learning with Python : Build highly optimized ensemble machine learning models using scikit-learn and Keras
Autor: Kyriakides, George.
Vydáno: (2019)

Machine Learning Engineering with Python : Manage the lifecycle of machine learning models using MLOps with practical examples
Autor: Mcmahon, Andrew P..

Learn AI with Python : Explore Machine Learning and Deep Learning techniques for Building Smart AI Systems Using Scikit-Learn, NLTK, NeuroLab, and Keras
Autor: Leekha, Gaurav.

Mastering predictive analytics with scikit-learn and TensorFlow : implement machine learning techniques to build advanced predictive models using Python
Autor: Fontaine, Alan.
Vydáno: (2018)

Building Machine Learning Systems with Python : Explore machine learning and deep learning techniques for building intelligent systems using scikit-learn and TensorFlow
Autor: Coelho, Luis Pedro.
Vydáno: (2018)

R machine learning projects : implement supervised, unsupervised, and reinforcement learning techniques using R 3.5
Autor: Chinnamgari, Sunil Kumar.
Vydáno: (2019)

Building Machine Learning Systems Using Python : Practice to Train Predictive Models and Analyze Machine Learning Results with Real Use-Cases
Autor: Chopra, Deepti (19..-....).

Biofiber reinforcement in composite materials
Vydáno: (2014)

Building Machine Learning Systems with Python : master the art of machine learning with Python and build effective machine learning systems with this intensive hands-on guide
Autor: Richert, Willi.
Vydáno: (2013)

Machine Learning with Python : Design and Develop Machine Learning and Deep Learning Technique using real world code examples
Autor: Vijayvargia, Abhishek.

Hands-on unsupervised learning with Python : implement machine learning and deep learning models using Scikit-Learn, TensorFlow, and more
Autor: Bonaccorso, Giuseppe.
Vydáno: (2019)

Hands-on deep learning for games : leverage the power of neural networks and reinforcement learning to build intelligent games
Autor: Lanham, Micheal.
Vydáno: (2019)

Applied Supervised Learning with Python : Use scikit-learn to build predictive models from real-world datasets and prepare yourself for the future of machine learning
Autor: Johnston, Benjamin.
Vydáno: (2019)

Hands-on Supervised Learning with Python : Learn How to Solve Machine Learning Problems with Supervised Learning Algorithms Using Python
Autor: Shang, Madeleine.

Generative Deep Learning with Python : Unleashing the Creative Power of AI by Mastering AI and Python

Learning Geospatial Analysis with Python : Unleash the power of Python 3 with practical techniques for learning GIS and remote sensing
Autor: Lawhead, Joel.

Pragmatic Machine Learning with Python : Learn How to Deploy Machine Learning Models in Production
Autor: Nag, Avishek.

Python Machine Learning : Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow 2
Autor: Raschka, Sebastian.
Vydáno: (2019)

Python Machine Learning By Example : Build intelligent systems using Python, TensorFlow 2, PyTorch, and scikit-learn
Autor: Liu, Yuxi (Hayden).
Vydáno: (2020)

Python Machine Learning Projects : Learn how to build Machine Learning projects from scratch
Autor: Vora, Deepali R..

Mastering machine learning for penetration testing : develop an extensive skill set to break self-learning systems using Pytho
Autor: Chebbi, Chiheb.
Vydáno: (2018)

Glassfibre reinforced concrete : principles, production, properties and applications
Autor: Bartos, Peter.
Vydáno: (2017)

Practical machine learning for data analysis using Python
Autor: Subasi, Abdulhamit (19..-....).
Vydáno: (2020)

Université catholique de l'Ouest - Bibliothèques - 3 place André Leroy - BP10808 - 49008 ANGERS Cedex 1