NLP has exploded in popularity over the last few years. But while Google, Facebook, OpenAI, and others continue to release larger language models, many teams still struggle with building NLP applications that live up to the hype. This hands-on guide helps you get up to speed on the latest and most promising trends in NLP. With a basic understanding of machine learning and some Python experience, youâll learn how to train and deploy real-world NLP applications in your organization. Authors Ankur Patel and Ajay Uppili Arasanipalai guide you through the process using code and examples that highlight the best practices in modern NLP. Use state-of-the-art NLP models such as BERT and GPT-3 to solve NLP tasks such as named entity recognition, text classification, semantic search, and reading comprehension Train NLP models with performance comparable or superior to that of out-of-the-box systems Learn about transformer architecture and modern tricks like transfer learning that have taken the NLP world by storm Become familiar with the tools of the trade, including spaCy, Hugging Face, and fast.ai Use Python and PyTorch to build core parts of the NLP pipeline from scratch, including tokenizers, embeddings, and language models Take your models out of Jupyter notebooks and learn how to deploy, monitor, and maintain them in production

Build full-stack shopping list applications from scratch for web and mobile platforms using Xcode, Vapor, and Swift Key Features Build, package, and deploy an end-to-end app solution for mobile and web with Swift 4 Increase developer productivity by creating reusable client and server components Develop backend services for your apps and websites using Vapor framework Book DescriptionMaking Swift an open-source language enabled it to share code between a native app and a server. Building a scalable and secure server backend opens up new possibilities, such as building an entire application written in one language-Swift. This book gives you a detailed walk-through of tasks such as developing a native shopping list app with Swift and creating a full-stack backend using Vapor (which serves as an API server for the mobile app). You'll also discover how to build a web server to support dynamic web pages in browsers, thereby creating a rich application experience. You'll begin by planning and then building a native iOS app using Swift. Then, you'll get to grips with building web pages and creating web views of your native app using Vapor. To put things into perspective, you'll learn how to build an entire full-stack web application and an API server for your native mobile app, followed by learning how to deploy the app to the cloud, and add registration and authentication to it. Once you get acquainted with creating applications, you'll build a tvOS version of the shopping list app and explore how easy is it to create an app for a different platform with maximum code shareability. Towards the end, you'll also learn how to create an entire app for different platforms in Swift, thus enhancing your productivity. What you will learn Get accustomed to server-side programming as well as the Vapor framework Learn how to build a RESTful API Make network requests from your app and handle error states when a network request fails Deploy your app to Heroku using the CLI command Write a test for the Vapor backend Create a tvOS version of your shopping list app and explore code-sharing with an iOS platform Add registration and authentication so that users can have their own shopping lists Who this book is forThis book is for developers who are looking to build full-stack web and native mobile applications using Swift. An understanding of HTML, CSS, and JavaScript would be beneficial when building server-rendered pages with Vapor.