Cargando…

Deep learning with PyTorch quick start guide: learn to train and deploy neural network models in Python

Detalles Bibliográficos
Autor principal:	Julian, David
Lenguaje:	eng
Publicado:	Packt Publishing 2018
Materias:	Computing and Computers
Acceso en línea:	http://cds.cern.ch/record/2666117

Ejemplares similares

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

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

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

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

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

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

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

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

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

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

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

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

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

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)

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

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

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

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

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

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

Modern Computer Vision with PyTorch
por: Ayyadevara, V, et al.
Publicado: (2020)

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

TensorFlow reinforcement learning quick start guide: get up and running with training and deploying intelligent, self-learning agents using Python
por: Balakrishnan, Kaushik
Publicado: (2019)

Recurrent neural networks with Python Quick Start Guide: sequential learning and language modeling with TensorFlow
por: Kostadinov, Simeon
Publicado: (2018)

Machine Learning with scikit-learn quick start guide: classification, regression, and clustering techniques in Python
por: Jolly, Kevin
Publicado: (2018)

Learn PySpark: build Python-based machine learning and deep learning models
por: Singh, Pramod
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)

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

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

AWS Lambda quick start guide: learn how to build and deploy serverless applications on AWS
por: Klems, Markus
Publicado: (2018)

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

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)

Large scale machine learning with Python: learn to build powerful machine learning models quickly and deploy large-scale predictive applications
por: Sjardin, Bastiaan, et al.
Publicado: (2016)

Deep learning with Microsoft Cognitive Toolkit quick start guide: a practical guide to building neural networks using Microsoft's open source deep learning framework
por: Meints, Willem
Publicado: (2019)

Pytest quick start guide: write better Python code with simple and maintainable tests
por: Oliveira, Bruno
Publicado: (2018)

Instant SymPy starter: learn to use SymPy's symbolic engine to simplify Python calculations
por: Lamy, Ronan
Publicado: (2013)

Deep learning cookbook: practical recipes to get started quickly
por: Osinga, Douwe
Publicado: (2018)

Truffle quick start guide: learn the fundamentals of Ethereum development
por: Bhaskar, Nikhil
Publicado: (2018)

Cannot write session to /tmp/vufind_sessions/sess_mjqd1mej2lmh01sv1a4ml4sdvj