Deep learning with PyTorch - A practical approach to building neural network models using PyTorch.pdf

Deep learning with PyTorch - A practical approach to building neural network models using PyTorch PDF

Vishnu Subramanian

Deep learning powers the most intelligent systems in the world, such as Google Voice, Siri, and Alexa. Advancements in powerful hardware, such as CPUs, software frameworks such as PyTorch, Keras, TensorFlow, and CNTK along with the availability of big data have made it easier to implement solutions to problems in the areas of text, vision, and advanced analytics. This book will get you up and running with one of the most cutting-edge deep learning libraries—PyTorch. PyTorch is grabbing the attention of deep learning researchers and data science professionals due to its accessibility, efficiency, and being more native to Python way of development. Youll start off by installing PyTorch, then quickly move on to learn various fundamental blocks that power modern deep learning. You will also learn how to use CNN, RNN, LSTM, and other networks to solve real-world problems. This book explains the concepts of various state-of-the-art deep learning architectures, such as ResNet, DenseNet, Inception, and Seg2Seq, without diving deep into the math behind them. You will also learn about GPU computing during the course of the book. You will see how to train a model with PyTorch and dive into complex neural networks such as generative networks for producing text and images. By the end of the book, youll be able to implement deep learning applications in PyTorch with ease.

[알라딘]Deep Learning with PyTorch : A practical …

5.97 MB Taille du fichier
9781788624336 ISBN
Libre PRIX
Deep learning with PyTorch - A practical approach to building neural network models using PyTorch.pdf

Technik

PC et Mac

Lisez l'eBook immédiatement après l'avoir téléchargé via "Lire maintenant" dans votre navigateur ou avec le logiciel de lecture gratuit Adobe Digital Editions.

iOS & Android

Pour tablettes et smartphones: notre application de lecture tolino gratuite

eBook Reader

Téléchargez l'eBook directement sur le lecteur dans la boutique www.cocoasharp.org ou transférez-le avec le logiciel gratuit Sony READER FOR PC / Mac ou Adobe Digital Editions.

Reader

Après la synchronisation automatique, ouvrez le livre électronique sur le lecteur ou transférez-le manuellement sur votre appareil tolino à l'aide du logiciel gratuit Adobe Digital Editions.

Notes actuelles

avatar
Sofya Voigtuh

Deep Learning with PyTorch: A practical approach to building neural network models using PyTorch (English Edition), 版本: 1, Packt Publishing, Deep Learning with PyTorch: A practical approach to building neural network models using PyTorch (English Edition) Deep Learning with PyTorch: A practical approach …

avatar
Mattio Müllers

1. Book Cover of Samuel Burns - Python Deep learning: Develop your first Neural ... A practical approach to building neural network models using PyTorch ...

avatar
Noels Schulzen

Neural Networks and Deep Learning Model Zoo. Python 3.7. A collection of various deep learning architectures, models, and tips for TensorFlow and PyTorch in ...

avatar
Jason Leghmann

Distributionally Robust Neural Networks for Group Shifts: On the Importance of ... cross-platform Python library for quantum machine learning with PyTorch interface ... Superresolution using an efficient sub-pixel convolutional neural network ... Vanilla Sequence to Sequence models; Attention based Sequence to Sequence ...

avatar
Jessica Kolhmann

This book explains the concepts of various state-of-the-art deep learning architectures, such as ResNet, DenseNet, Inception, and Seq2Seq, without diving deep into the math behind them. You will also learn about GPU computing during the course of the book. You will see how to train a model with PyTorch and dive into complex neural networks such as generative networks for producing text and images.