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Podcasts
Caffe2 Quick Start Guide. Modular and scalable deep learning made easy
Caffe2 is a popular deep learning library used for fast and scalable training, and inference of deep learning models on different platforms. This book introduces you to the Caffe2 framework and demonstrates how you can leverage its power to build, train, and deploy efficient neural network models at scale.The Caffe 2 Quick Start Guide will help you in installing Caffe2, composing networks using its operators, training models, and deploying models to different architectures. The book will also guide you on how to import models from Caffe and other frameworks using the ONNX interchange format. You will then cover deep learning accelerators such as CPU and GPU and learn how to deploy Caffe2 models for inference on accelerators using inference engines. Finally, you'll understand how to deploy Caffe2 to a diverse set of hardware, using containers on the cloud and resource-constrained hardware such as Raspberry Pi.By the end of this book, you will not only be able to compose and train popular neural network models with Caffe2, but also deploy them on accelerators, to the cloud and on resource-constrained platforms such as mobile and embedded hardware.
For most of us, setting up the database for an application is often an afterthought. While you don't need to be a professional database designer to create a working application, knowing a few insider tips and techniques can make both the process easier and the end result much more effective. This book doesn't set out to make you an expert in data analysis, but it does provide a quick and easy way to raise your game in this essential part of getting your application right.
In recent years, we’ve enjoyed being able to do more and more online and in the cloud. Google Drive brings the power and convenience of working online for you and your files. With Google Drive, you can create and store your files safely in the cloud, share them if desired, and access them from anywhere using a web browser, smartphone, or tablet computer.Instant Google Drive Starter is your companion to getting started with the world of cloud computing and working with your files online. With clear visuals and step-by-step examples, this book shows you how to use Google Drive from start to finish. From creating documents and files in Google Drive to sharing them with others and accessing them anywhere using your web browser, phone, or tablet computer – you’ll be working in the cloud.This book starts with the very basics of cloud computing, providing clear examples for ways you can use Google Drive to work with your files in the cloud, and the benefits of doing so. It will take you step-by-step through all the aspects of using Google Drive to get you quickly working with your files online, accessing them from anywhere using a web browser, smartphone, or tablet computer.You’ll learn how to use Google Drive to create documents, spreadsheets, and presentations, and also how you can upload folders and files from your hard drive into Google Drive using your web browser. Once your files are in Google Drive, this book will show you all the things you can do with them: edit them online from anywhere (including your iPhone, iPad, or Android phone or tablet), and even share them with others if desired. This book will also show you how to use the Google Drive sync program to back up your files to the cloud and keep them automatically in sync between your computer’s hard drive and Google Drive. You will learn everything you need to know to create and store your files safely in the cloud with Google Drive, share them with others if desired, and access them from anywhere using a web browser, smartphone, or tablet computer.
Hubert Klein Ikkink, Gradle GmbH
Gradle is the next generation in build automation. It uses convention-over-configuration to provide good defaults, but is also flexible enough to be usable in every situation you encounter in daily development. Build logic is described with a powerful DSL and empowers developers to create reusable and maintainable build logic.Gradle Effective Implementation Guide is a great introduction and reference for using Gradle. The Gradle build language is explained with hands on code and practical applications. You learn how to apply Gradle in your Java, Scala or Groovy projects, integrate with your favorite IDE and how to integrate with well-known continuous integration servers.Start with the foundations and work your way through hands on examples to build your knowledge of Gradle to skyscraper heights. You will quickly learn the basics of Gradle, how to write tasks, work with files and how to use write build scripts using the Groovy DSL. Then as you develop you will be shown how to use Gradle for Java projects. Compile, package, test and deploy your applications with ease. When you've mastered the simple, move on to the sublime and integrate your code with continuous integration servers and IDEs. By the end of the Gradle Effective Implementation Guide you will be able to use Gradle in your daily development. Writing tasks, applying plugins and creating build logic will be second nature.
Data literacy is the ability to read, analyze, work with, and argue using data. Data analysis is the process of cleaning and modeling your data to discover useful information. This book combines these two concepts by sharing proven techniques and hands-on examples so that you can learn how to communicate effectively using data.After introducing you to the basics of data analysis using Jupyter Notebook and Python, the book will take you through the fundamentals of data. Packed with practical examples, this guide will teach you how to clean, wrangle, analyze, and visualize data to gain useful insights, and you'll discover how to answer questions using data with easy-to-follow steps.Later chapters teach you about storytelling with data using charts, such as histograms and scatter plots. As you advance, you'll understand how to work with unstructured data using natural language processing (NLP) techniques to perform sentiment analysis. All the knowledge you gain will help you discover key patterns and trends in data using real-world examples. In addition to this, you will learn how to handle data of varying complexity to perform efficient data analysis using modern Python libraries.By the end of this book, you'll have gained the practical skills you need to analyze data with confidence.