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The Deep Learning with PyTorch Workshop

most popular machine learning libraries for deep learning? The Deep Learning with PyTorch Workshop will help you do just that, jumpstarting;

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PyTorch Deep Learning Hands-On

to doing deep learning work with Pytorch. It is not an academic textbook and does not try to teach deep learning principles. The book will;

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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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Stevens:Deep Learning with PyTorc_p

, however no experience with PyTorch or other deep learning frameworks is required. About the technology PyTorch is a machine learning;

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Deep Learning with PyTorch Quick Start Guide

those wanting to explore deep learning with PyTorch to harness its power. This book will introduce you to the PyTorch deep learning library and;

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PyTorch Recipes

deep learning models with fewer and smarter implementations Explore the PyTorch framework for model explainability and to bring transparency;

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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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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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Programming PyTorch for Deep Learning Creating and Deploying Deep Learning Applications

the critical concepts of applying transfer learning to images, debugging models, and PyTorch in production. Learn how to deploy deep;

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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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Advanced Deep Learning for Engineers and Scientists

applications. This book introduces a broad range of topics in deep learning. The authors start with the fundamentals, architectures, tools needed for;

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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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Beginning Anomaly Detection Using Python-Based Deep Learning

deep learning with details on how to build and train a deep learning model in both Keras and PyTorch before shifting the focus to applications;

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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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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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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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Natural Language Processing with PyTorchlow

how to apply these methods using PyTorch, a Python-based deep learning library. Authors Delip Rao and Brian McMahon provide you with a;

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Deep Reinforcement Learning with Python

learning algorithms, along with Monte Carlo tree search (MCTS), which played a key role in the success of AlphaGo. The final chapters conclude with;

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Hands-On One-shot Learning with Python

Get to grips with building powerful deep learning models using PyTorch and scikit-learn Key Features Learn how you can speed up the deep;

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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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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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PyTorch 1.x Reinforcement Learning Cookbook

Implement reinforcement learning techniques and algorithms with the help of real-world examples and recipes Key Features Use PyTorch 1.x to;

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Machine Learning for Medical Image Reconstruction

This book constitutes the refereed proceedings of the Third International Workshop on Machine Learning for Medical Reconstruction, MLMIR;

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The Deep Learning Workshop

? Whether you are familiar with machine learning or are new to this domain, The Deep Learning Workshop will make it easy for you to understand deep;

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