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Make Your First GAN With PyTorch

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PyTorch Deep Learning Hands-On

Implement key deep learning methods in PyTorch: CNNs, GANs, RNNs, reinforcement learning, and more Build deep learning workflows and take deep;

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Mastering PyTorch

Master advanced techniques and algorithms for deep learning with PyTorch using real-world examples Key Features Understand how to use;

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The Deep Learning with PyTorch Workshop

Get a head start in the world of AI and deep learning by developing your skills with PyTorch Key Features Learn how to define your own;

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Stevens:Deep Learning with PyTorc_p

started quickly and then grows with you as you, and your deep learning skills, become more sophisticated. Deep Learning with PyTorch;

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PyTorch Recipes

Get up to speed with the deep learning concepts of Pytorch using a problem-solution approach. Starting with an introduction to PyTorch;

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PyTorch Pocket Reference

This concise, easy-to-use reference puts one of the most popular frameworks for deep learning research and development at your fingertips;

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Deep Learning with PyTorch Quick Start Guide

train your neural networks with relative ease. What you will learn Set up the deep learning environment using the PyTorch library Learn to build;

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PyTorch Recipes

chapters covering topics such as distributed PyTorch modeling, deploying PyTorch models in production, and developments around PyTorch with updated;

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Programming PyTorch for Deep Learning Creating and Deploying Deep Learning Applications

create your very own neural networks. Ian Pointer shows you how to set up PyTorch on a cloud-based environment, then walks you through the;

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Hands-On Natural Language Processing with PyTorch 1.x

Learn modern approaches to NLP and explore state-of-the-art NLP models using PyTorch Improve your NLP applications with innovative neural;

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Deep Learning with PyTorch

, software frameworks such as PyTorch, Keras, Tensorflow, and CNTK along with the availability of big data have made it easier to implement solutions;

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Computer Vision Projects with PyTorch

vision algorithms and their applications using PyTorch. The book begins with the fundamentals of computer vision: convolutional neural nets;

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Deep Learning for Coders with fastai &

code. How? With fastai, the first library to provide a consistent interface to the most frequently used deep learning applications. Authors;

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Deep Learning with Python

Master the practical aspects of implementing deep learning solutions with PyTorch, using a hands-on approach to understanding both theory;

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Deep Learning with Python

Master the practical aspects of implementing deep learning solutions with PyTorch, using a hands-on approach to understanding both theory;

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Computer Vision Projects with PyTorch

Intermediate user level;...

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Hands-on Machine Learning with Python

learning, and Pytorch for deep learning with Python. It also serves as a long-term reference manual for the practitioners who will find solutions;

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Hands-on Machine Learning with Python

learning, and Pytorch for deep learning with Python. It also serves as a long-term reference manual for the practitioners who will find solutions;

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Generative AI with Python and TensorFlow 2

easy for PyTorch users to follow along Look inside the most famous deep generative models, from GPT to MuseGAN Learn to build and adapt your;

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Power GaN Devices

This book presents the first comprehensive overview of the properties and fabrication methods of GaN-based power transistors, with;

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T-SQL Fundamentals

SQL Database. Itzik Ben-Gan explains key T-SQL concepts and helps you apply your knowledge with hands-on exercises. The book first introduces;

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Generative Adversarial Networks Cookbook

generative models with real-world data sets, including 2D and 3D data Book DescriptionDeveloping Generative Adversarial Networks (GANs) is a complex;

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Concepts and Programming in PyTorch

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Natural Language Processing mit PyTorch

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Pytorch Deep Learning by Example Vol. 1

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Pytorch Deep Learning by Example, Vol. 2

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