Cargando…
Hands-on generative adversarial networks with PyTorch 1.x: implement next-generation neural networks to build powerful GAN models using Python
This book will help you understand how GANs architecture works using PyTorch. You will get familiar with the most flexible deep learning toolkit and use it to transform ideas into actual working codes. You will apply GAN models to areas like computer vision, multimedia and natural language processin...
Autores principales: | Hany, John, Walters, Greg |
---|---|
Lenguaje: | eng |
Publicado: |
Packt Publishing
2019
|
Materias: | |
Acceso en línea: | http://cds.cern.ch/record/2716499 |
Ejemplares similares
-
Deep learning with PyTorch: a practical approach to building neural network models using PyTorch
por: Subramanian, Vishnu
Publicado: (2018) -
Advanced deep learning with Python: design and implement advanced next-generation AI solutions using TensorFlow and PyTorch
por: Vasilev, Ivan
Publicado: (2019) -
PyTorch Neural Networks and Track Analysis for Top Quark Tagging
por: Hayes, Geneveve
Publicado: (2019) -
Deep learning with PyTorch quick start guide: learn to train and deploy neural network models in Python
por: Julian, David
Publicado: (2018) -
PyTorch recipes: a problem-solution approach
por: Mishra, Pradeepta
Publicado: (2019)