Cargando…

Modern Computer Vision with PyTorch

Detalles Bibliográficos
Autores principales:	Ayyadevara, V, Reddy, Yeshwanth
Lenguaje:	eng
Publicado:	Packt Publishing 2020
Materias:	XX
Acceso en línea:	http://cds.cern.ch/record/2747596

Ejemplares similares

Mastering PyTorch
por: Jha, Ashish, et al.
Publicado: (2021)

Deep Learning with PyTorch
por: Antiga, Luca
Publicado: (2020)

PyTorch Pocket Reference
por: Papa, Joe
Publicado: (2021)

PyTorch Artificial Intelligence Fundamentals
por: Mathew, Jibin
Publicado: (2020)

The Deep Learning with PyTorch Workshop
por: Saleh, Hyatt
Publicado: (2020)

PyTorch computer vision cookbook: over 70 recipes to master the art of computer vision with deep learning and PyTorch 1.x
por: Avendi, Michael
Publicado: (2020)

Deep Learning for Coders with fastai and PyTorch
por: Howard, Jeremy
Publicado: (2020)

Deep Learning with PyTorch 1.x
por: Mitchell, Laura
Publicado: (2019)

PyTorch C++ API
por: Brunner, David
Publicado: (2021)

PyTorch 1.x Reinforcement Learning Cookbook
por: Liu, Yuxi
Publicado: (2019)

Deep learning with PyTorch: a practical approach to building neural network models using PyTorch
por: Subramanian, Vishnu
Publicado: (2018)

Hands-On Natural Language Processing with PyTorch 1.x
por: Dop, Thomas
Publicado: (2020)

Extracting and visualizing hidden activations and computational graphs of PyTorch models with TorchLens
por: Taylor, JohnMark, et al.
Publicado: (2023)

PyTorch recipes: a problem-solution approach
por: Mishra, Pradeepta
Publicado: (2019)

Beginning Anomaly Detection Using Python-Based Deep Learning: With Keras and PyTorch
por: Alla, Sridhar
Publicado: (2019)

PyTorch Neural Networks and Track Analysis for Top Quark Tagging
por: Hayes, Geneveve
Publicado: (2019)

TorchLens: A Python package for extracting and visualizing hidden activations of PyTorch models
por: Taylor, JohnMark, et al.
Publicado: (2023)

Programming PyTorch for deep learning: creating and deploying deep learning applications
por: Pointer, Ian
Publicado: (2019)

Selene: a PyTorch-based deep learning library for sequence data
por: Chen, Kathleen M., et al.
Publicado: (2019)

Analysis of the Application Efficiency of TensorFlow and PyTorch in Convolutional Neural Network
por: Novac, Ovidiu-Constantin, et al.
Publicado: (2022)

Natural language processing with PyTorch: build intelligent language applications using deep learning
por: Rao, Delip, et al.
Publicado: (2019)

Prediction of Hearing Prognosis of Large Vestibular Aqueduct Syndrome Based on the PyTorch Deep Learning Model
por: Duan, Bo, et al.
Publicado: (2022)

Deep learning with PyTorch quick start guide: learn to train and deploy neural network models in Python
por: Julian, David
Publicado: (2018)

A ROOT feature for parsing PyTorch Geometric graph neural networks into C++ code for fast inference
por: Van Berkum, Stefan
Publicado: (2023)

Retracted: Prediction of Hearing Prognosis of Large Vestibular Aqueduct Syndrome Based on the PyTorch Deep Learning Model
por: Healthcare Engineering, Journal of
Publicado: (2023)

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

Highly parallel simulation and optimization of photonic circuits in time and frequency domain based on the deep-learning framework PyTorch
por: Laporte, Floris, et al.
Publicado: (2019)

Advanced deep learning with Python: design and implement advanced next-generation AI solutions using TensorFlow and PyTorch
por: Vasilev, Ivan
Publicado: (2019)

magnum.np: a PyTorch based GPU enhanced finite difference micromagnetic simulation framework for high level development and inverse design
por: Bruckner, Florian, et al.
Publicado: (2023)

Hands-on generative adversarial networks with PyTorch 1.x: implement next-generation neural networks to build powerful GAN models using Python
por: Hany, John, et al.
Publicado: (2019)

vid-SAMGRAH: A PyTorch framework for multi-latent space reinforcement learning driven video summarization in ultrasound imaging [Image: see text]
por: Mathews, Roshan P., et al.
Publicado: (2021)

Modern PyQt: Create GUI Applications for Project Management, Computer Vision, and Data Analysis
por: Willman, Joshua
Publicado: (2020)

SciPy recipes: a cookbook with over 110 proven recipes for performing mathematical and scientific computations
por: Martins, Luiz Felipe, et al.
Publicado: (2017)

Passing the Torch: A Guide to the Succession Planning Process
por: Davila, Norma
Publicado: (2015)

Pytorch deep learning hands-on: apply modern AI techniques with CNNS, RNNS, GANs, reinforcement learning, and more
por: Thomas, Sherin, et al.
Publicado: (2019)

Managing Leadership Transition for Nonprofits: Passing the Torch to Sustain Organizational Excellence
por: Dym, Barry
Publicado: (2011)

Advanced Analytics with PySpark
por: Tandon, Akash, et al.
Publicado: (2022)

The TORCH project
por: Forty, R
Publicado: (2014)

TORCH Reconstruction
por: Rademacker, Jonas
Publicado: (2022)

TORCH simulation
por: Blake, Thomas, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_fsi6qi2romfvilq87um8db0eg0