Suchergebnisse - Hands-On Graph Neural Networks Using Python

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Hands-on graph neural networks using Python : practical techniques and architectures for building powerful graph and deep learning apps with Pytorch

Labonne, Maxime (Verfasser)

Birmingham, England : Packt Publishing, 2023

Buch

Hands-on graph neural networks using Python : practical techniques and architectures for building powerful graph and deep learning apps with PyTorch

Labonne, Maxime (Verfasser)

Birmingham, UK : Packt Publishing Ltd., 2023

E-Book

Hands-On Graph Neural Networks Using Python : Practical techniques and architectures for building powerful graph and deep learning apps with PyTorch

Labonne, Maxime (Verfasser)

1. Auflage

Birmingham : Packt Publishing Limited, 2023

E-Book

Graph neural networks in action

Broadwater, Keita (Verfasser)

[First edition]

[Place of publication not identified] : Manning Publications, 2025

eAudiobook

Hands-on neural networks : learn how to build and train your first neural network model using Python

De Marchi, Leonardo

Birmingham, UK : Packt Publishing, 2019

E-Book

Hands-On Neural Networks with TensorFlow 2.0

Galeone, Paolo (Verfasser)

1st edition

[Erscheinungsort nicht ermittelbar] : Packt Publishing, 2019

E-Book

Hands-On Neural Networks with TensorFlow 2.0 : Understand TensorFlow, from static graph to eager execution, and design neural networks

Galeone, Paolo (Verfasser)

1. Auflage

Birmingham : Packt Publishing Limited, 2019

E-Book

Hands-On Neural Networks : Learn how to build and train your first neural network model using Python

De Marchi, Leonardo (Verfasser)

1. Auflage

Birmingham : Packt Publishing Limited, 2019

E-Book

Hands-On Neural Networks with Keras : Design and create neural networks using deep learning and artificial intelligence principles

Purkait, Niloy (Verfasser)

1. Auflage

Birmingham : Packt Publishing Limited, 2019

E-Book

Hands-On Neural Networks with Keras

Purkait, Niloy (Verfasser)

1st edition

[Erscheinungsort nicht ermittelbar] : Packt Publishing, 2019

E-Book

Neural Network Projects with Python

Loy, James (Verfasser)

1st edition

[Erscheinungsort nicht ermittelbar] : Packt Publishing, 2019

E-Book

Hands-On Deep Learning Architectures with Python : Create deep neural networks to solve computational problems using TensorFlow and Keras

Liu, Yuxi (Verfasser)

1. Auflage

Birmingham : Packt Publishing Limited, 2019

E-Book

Hands-On Deep Learning Architectures with Python : Create Deep Neural Networks to Solve Computational Problems Using TensorFlow and Keras.

Liu, Yuxi

Birmingham : Packt Publishing, Limited, 2019

E-Book

Neural Network Projects with Python : The ultimate guide to using Python to explore the true power of neural networks through six projects

Loy, James (Verfasser)

1. Auflage

Birmingham : Packt Publishing Limited, 2019

E-Book

Hands-on machine learning with Python : implement neural network solutions with Scikit-learn and PyTorch

Pajankar, Ashwin (Verfasser)

[Berkeley] : Apress, 2022

E-Book

Practical Convolutional Neural Networks : Implement advanced deep learning models using Python

Sewak, Mohit (Verfasser)

1. Auflage

Birmingham : Packt Publishing Limited, 2018

E-Book

Hands-On Generative Adversarial Networks with PyTorch 1.x : Implement next-generation neural networks to build powerful GAN models using Python

Hany, John (Verfasser)

1. Auflage

Birmingham : Packt Publishing Limited, 2019

E-Book

Hands-On Neuroevolution with Python : Build high-performing artificial neural network architectures using neuroevolution-based algorithms

Omelianenko, Iaroslav (Verfasser)

1. Auflage

Birmingham : Packt Publishing Limited, 2019

E-Book

Modern Graph Theory Algorithms with Python : Harness the Power of Graph Algorithms and Real-World Network Applications Using Python

Farrelly, Colleen (Verfasser)

1st edition

Birmingham : Packt Publishing, Limited, 2024

E-Book

Modern Graph Theory Algorithms with Python : Harness the power of graph algorithms and real-world network applications using Python

Farrelly, Colleen M. (Verfasser)

1. Auflage

Birmingham : Packt Publishing Limited, 2024

E-Book

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