Accelerate Model Training with PyTorch 2.X. Build more accurate models by boosting the model training process

Maicon Melo Alves, Lúcia Maria de Assumpçao Drummond

This book, written by an HPC expert with over 25 years of experience, guides you through enhancing model training performance using PyTorch. Here you’ll learn how model complexity impacts training time and discover performance tuning levels to expedite the process, as well as utilize PyTorch features, specialized libraries, and efficient data pipelines to optimize training on CPUs and accelerators. You’ll also reduce model complexity, adopt mixed precision, and harness the power of multicore systems and multi-GPU environments for distributed training. By the end, you'll be equipped with techniques and strategies to speed up training and focus on building stunning models.

FL Studio Cookbook. The lofi, retrowave, and horror music chef's guide to FL Studio music production

Chris Rena

Whether it's overcoming creative blocks, troubleshooting technical issues, or refining your workflow, every budding producer faces challenges. The FL Studio Cookbook is here to provide practical solutions to common problems, empowering you to navigate any obstacle with ease by exploring one of the most renowned, industry-standard DAWs.The recipe-based approach of this book means that you’ll unlock the secrets of crafting captivating melodies and learn the art of composition with practical, step-by-step instructions, discovering how to construct melodies that evoke emotion and leave a lasting impression. From chord progressions to counterpoint, you’ll get actionable insights to help you compose music that resonates with your audience. You’ll also master the intricacies of mixing and mastering, by familiarizing yourself with the entire process from balancing levels and sculpting sounds to applying effects. You’ll also explore the endless possibilities of sculpting sound from scratch, whether you're crafting custom synths, designing unique textures, or layering effects to create otherworldly sounds.By the end of this book, you'll have acquired the skills to confidently craft professional-quality lofi, retrowave, and horror music tracks, gaining the expertise to express your musical vision and take your music production to new heights.

Instant OpenCV for iOS. Learn how to build real-time computer vision applications for the iOS platform using the OpenCV library

Kirill Kornyakov, Aleksander Shishkov

Computer vision on mobile devices is becoming more and more popular. Personal gadgets are now powerful enough to process high-resolution images, stitch panoramas, and detect and track objects. OpenCV, with its decent performance and wide range of functionality, can be an extremely useful tool in the hands of iOS developers.Instant OpenCV for iOS is a practical guide that walks you through every important step for building a computer vision application for the iOS platform. It will help you to port your OpenCV code, profile and optimize it, and wrap it into a GUI application. Each recipe is accompanied by a sample project or an example that helps you focus on a particular aspect of the technology.Instant OpenCV for iOS starts by creating a simple iOS application and linking OpenCV before moving on to processing images and videos in real-time. It covers the major ways to retrieve images, process them, and view or export results. Special attention is also given to performance issues, as they greatly affect the user experience.Several computer vision projects will be considered throughout the book. These include a couple of photo filters that help you to print a postcard or add a retro effect to your images. Another one is a demonstration of the facial feature detection algorithm. In several time-critical cases, the processing speed is measured and optimized using ARM NEON and the Accelerate framework.OpenCV for iOS gives you all the information you need to build a high-performance computer vision application for iOS devices.

SQL Server 2014 Development Essentials. Design, implement, and deliver a successful database solution with Microsoft SQL Server 2014

Basit A. Masood-Al-Farooq

Efficient Algorithm Design. Unlock the power of algorithms to optimize computer programming

Masoud Makrehchi

Efficient Algorithm Design redefines algorithms, tracing the evolution of computer science as a discipline bridging natural science and mathematics. Author Masoud Makrehchi, PhD, with his extensive experience in delivering publications and presentations, explores the duality of computers as mortal hardware and immortal algorithms. The book guides you through essential aspects of algorithm design and analysis, including proving correctness and the importance of repetition and loops. This groundwork sets the stage for exploring algorithm complexity, with practical exercises in design and analysis using sorting and search as examples. Each chapter delves into critical topics such as recursion and dynamic programming, reinforced with practical examples and exercises that link theory with real-world applications. What sets this book apart is its focus on the practical application of algorithm design and analysis, equipping you to solve real programming challenges effectively.By the end of this book, you’ll have a deep understanding of algorithmic foundations and gain proficiency in designing efficient algorithms, empowering you to develop more robust and optimized software solutions.

Taking SketchUp Pro to the Next Level. Go beyond the basics and develop custom 3D modeling workflows to become a SketchUp ninja

Aaron Dietzen aka 'The SketchUp Guy'

Anyone who’s worked with it will know that SketchUp is the quickest and easiest way to create 3D models. While its approachable interface makes it super easy to learn, this book will show you how the extremely capable SketchUp software can take you far beyond what you may have initially thought possible. Get ready to level up from a basic user to becoming a SketchUp ninja!Each chapter will take you through the capabilities of SketchUp, challenging you to use tools in innovative ways. This includes organizing your model, modifying native commands, customizing your interface, utilizing inferencing, and much more. Additionally, you’ll learn about the extensions that can be added to SketchUp to supplement the tools you have been using, allowing you to make your 3D modeling process quicker, easier, and more powerful.By the end of this SketchUp book, you’ll have an enhanced understanding of how to use the impressive range of tools and be on your way to customizing SketchUp for your one-of-a-kind workflow.

Apache Flume: Distributed Log Collection for Hadoop. If your role includes moving datasets into Hadoop, this book will help you do it more efficiently using Apache Flume. From installation to customization, it's a complete step-by-step guide on making the service work for you

Steve Hoffman, Steven Hoffman, Kevin A. McGrail

Apache Flume is a distributed, reliable, and available service for efficiently collecting, aggregating, and moving large amounts of log data. Its main goal is to deliver data from applications to Apache Hadoop's HDFS. It has a simple and flexible architecture based on streaming data flows. It is robust and fault tolerant with many failover and recovery mechanisms.Apache Flume: Distributed Log Collection for Hadoop covers problems with HDFS and streaming data/logs, and how Flume can resolve these problems. This book explains the generalized architecture of Flume, which includes moving data to/from databases, NO-SQL-ish data stores, as well as optimizing performance. This book includes real-world scenarios on Flume implementation.Apache Flume: Distributed Log Collection for Hadoop starts with an architectural overview of Flume and then discusses each component in detail. It guides you through the complete installation process and compilation of Flume.It will give you a heads-up on how to use channels and channel selectors. For each architectural component (Sources, Channels, Sinks, Channel Processors, Sink Groups, and so on) the various implementations will be covered in detail along with configuration options. You can use it to customize Flume to your specific needs. There are pointers given on writing custom implementations as well that would help you learn and implement them.By the end, you should be able to construct a series of Flume agents to transport your streaming data and logs from your systems into Hadoop in near real time.

Distributed Machine Learning with Python. Accelerating model training and serving with distributed systems

Guanhua Wang

Reducing time cost in machine learning leads to a shorter waiting time for model training and a faster model updating cycle. Distributed machine learning enables machine learning practitioners to shorten model training and inference time by orders of magnitude. With the help of this practical guide, you'll be able to put your Python development knowledge to work to get up and running with the implementation of distributed machine learning, including multi-node machine learning systems, in no time. You'll begin by exploring how distributed systems work in the machine learning area and how distributed machine learning is applied to state-of-the-art deep learning models. As you advance, you'll see how to use distributed systems to enhance machine learning model training and serving speed. You'll also get to grips with applying data parallel and model parallel approaches before optimizing the in-parallel model training and serving pipeline in local clusters or cloud environments. By the end of this book, you'll have gained the knowledge and skills needed to build and deploy an efficient data processing pipeline for machine learning model training and inference in a distributed manner.