Pruning Simplified

Pruning Simplified
Author: Steven Bradley
Publsiher: Timber Press
Total Pages: 194
Release: 2019-02-05
Genre: Gardening
ISBN: 9781604698886

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Paying a professional to prune your trees and shrubs is an unnecessary expense. You can tackle most trees and shrubs on your own, and Pruning Simplified by Steven Bradley makes it easier than ever to learn how to prune. He offers expert advice on the best tools for the job, specific details on when to prune, and clear instructions on how to prune. This plant-by-plant guide profiles 50 of the most popular trees and shrubs, including azaleas, camellias, clematis, and more. Each plant profile includes illustrated, easy-to-follow instructions that will ensure you make the right cut the first time.

Pruning Simplified

Pruning Simplified
Author: Lewis Hill
Publsiher: Unknown
Total Pages: 232
Release: 1979
Genre: Gardening
ISBN: WISC:89031281835

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Pruning Simplified

Pruning Simplified
Author: Lewis Hill
Publsiher: Storey Books
Total Pages: 242
Release: 1986
Genre: Gardening
ISBN: CORNELL:31924003680307

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Geared to suburbanites who need advice on maintaining the variety of plantings found on the typical lawn and in the home, this guide demonstrates how to prune for both appearance and nut/fruit production.

Pruning Simplified

Pruning Simplified
Author: Lewis Hill
Publsiher: Unknown
Total Pages: 208
Release: 1990
Genre: Pruning
ISBN: 1875169067

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Accelerate Model Training with PyTorch 2 X

Accelerate Model Training with PyTorch 2 X
Author: Maicon Melo Alves
Publsiher: Packt Publishing Ltd
Total Pages: 230
Release: 2024-04-30
Genre: Computers
ISBN: 9781805121916

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Dramatically accelerate the building process of complex models using PyTorch to extract the best performance from any computing environment Key Features Reduce the model-building time by applying optimization techniques and approaches Harness the computing power of multiple devices and machines to boost the training process Focus on model quality by quickly evaluating different model configurations Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionPenned by an expert in High-Performance Computing (HPC) with over 25 years of experience, this book is your guide to enhancing the performance of model training using PyTorch, one of the most widely adopted machine learning frameworks. You’ll start by understanding how model complexity impacts training time before discovering distinct levels of performance tuning to expedite the training process. You’ll also learn how to use a new PyTorch feature to compile the model and train it faster, alongside learning how to benefit from specialized libraries to optimize the training process on the CPU. As you progress, you’ll gain insights into building an efficient data pipeline to keep accelerators occupied during the entire training execution and explore strategies for reducing model complexity and adopting mixed precision to minimize computing time and memory consumption. The book will get you acquainted with distributed training and show you how to use PyTorch to harness the computing power of multicore systems and multi-GPU environments available on single or multiple machines. By the end of this book, you’ll be equipped with a suite of techniques, approaches, and strategies to speed up training , so you can focus on what really matters—building stunning models!What you will learn Compile the model to train it faster Use specialized libraries to optimize the training on the CPU Build a data pipeline to boost GPU execution Simplify the model through pruning and compression techniques Adopt automatic mixed precision without penalizing the model's accuracy Distribute the training step across multiple machines and devices Who this book is for This book is for intermediate-level data scientists who want to learn how to leverage PyTorch to speed up the training process of their machine learning models by employing a set of optimization strategies and techniques. To make the most of this book, familiarity with basic concepts of machine learning, PyTorch, and Python is essential. However, there is no obligation to have a prior understanding of distributed computing, accelerators, or multicore processors.

Easy Practical Pruning

Easy Practical Pruning
Author: Barbara Ellis
Publsiher: Houghton Mifflin Harcourt
Total Pages: 134
Release: 1997
Genre: Gardening
ISBN: 0395815916

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Using photographs, how-to drawings, and clear, concise explanations, the author shows you how, why and when to prune practically every type of plant.

Pruning Made Easy

Pruning Made Easy
Author: Lewis Hill
Publsiher: Storey Publishing
Total Pages: 228
Release: 1998-01-02
Genre: Gardening
ISBN: UVA:X030239967

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Proper pruning will keep your landscape beautiful and thriving year after year. This authoritative guide includes more than 300 step-by-step illustrations to clearly demonstrate the correct pruning procedures for a variety of trees, shrubs, hedges, vines, and flowers. Lewis Hill offers expert advice on when, how, and why each type of plant should be pruned, safety considerations, and techniques for maintaining your pruning tools. Encouraging you to get creative, Hill even shows you how to shape your own topiaries and train espaliers.

How to Prune Trees Shrubs

How to Prune Trees   Shrubs
Author: Barbara W. Ellis
Publsiher: Storey Publishing, LLC
Total Pages: 128
Release: 2016-03-08
Genre: Gardening
ISBN: 9781612125817

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Help your trees, shrubs, and vines look and yield their best by making the right cut every time. Whether you are hoping for more flowers or fruit, trying to create a dense screen, or struggling to manage out-of-control growth, there is a pruning technique to achieve your goals. Expert gardener Barbara Ellis explains how a plant responds to pruning, how and when to use basic cuts, and what tools to use. Her plant-by-plant guide will give you the confidence you need to make that first cut.