Deep Learning with fastai Cookbook. Leverage the easy-to-use fastai framework to unlock the power of deep learning

Mark Ryan

fastai is an easy-to-use deep learning framework built on top of PyTorch that lets you rapidly create complete deep learning solutions with as few as 10 lines of code. Both predominant low-level deep learning frameworks, TensorFlow and PyTorch, require a lot of code, even for straightforward applications. In contrast, fastai handles the messy details for you and lets you focus on applying deep learning to actually solve problems.The book begins by summarizing the value of fastai and showing you how to create a simple 'hello world' deep learning application with fastai. You'll then learn how to use fastai for all four application areas that the framework explicitly supports: tabular data, text data (NLP), recommender systems, and vision data. As you advance, you'll work through a series of practical examples that illustrate how to create real-world applications of each type. Next, you'll learn how to deploy fastai models, including creating a simple web application that predicts what object is depicted in an image. The book wraps up with an overview of the advanced features of fastai.By the end of this fastai book, you'll be able to create your own deep learning applications using fastai. You'll also have learned how to use fastai to prepare raw datasets, explore datasets, train deep learning models, and deploy trained models.

OpenStack Cloud Security. Your OpenStack cloud storage contains all your vital computing resources and potentially sensitive data – secure it with this essential OpenStack tutorial

Fabio Alessandro Locati, Fabio A Locati (Duplicate)

Moodle 2 for Teaching 7-14 Year Olds Beginner's Guide. You need no special technical skills or previous Moodle experience to use the e-learning platform to create fantastic interactive teaching aids for pre-teen and early teenage students. This book takes you from A-Z in easy steps

Mary Cooch

Moodle is a very popular e-learning tool in universities and high schools. But what does it have to offer younger students who want a fun, interesting, interactive, and informative learning experience? Moodle empowers teachers to achieve all this and more and this book will show you how!Moodle 2 For Teaching 7-14 Year Olds will show complete beginners in Moodle with no technical background how to make the most of its features to enhance the learning and teaching of children aged around 7-14. The book focuses on the unique needs of young learners to create a fun, interesting, interactive, and informative learning environment your students will want to go to day after day.This is a practical book for teachers, written by a teacher with two decades of practical experience, latterly in using Moodle to motivate younger students. Learn how to put your lessons online in minutes; how to set creative homework that Moodle will mark for you and how to get your students working together to build up their knowledge. Throughout the book we will build a course from scratch, adaptable for ages 7 to 14, on Rivers and Flooding. You can adapt this to any topic, as Moodle lends itself to all subjects and ages.

Python: Penetration Testing for Developers. Execute effective tests to identify software vulnerabilities

Christopher Duffy, Mohit Raj, Cameron Buchanan, Andrew Mabbitt, ...

Cybercriminals are always one step ahead, when it comes to tools and techniques. This means you need to use the same tools and adopt the same mindset to properly secure your software. This course shows you how to do just that, demonstrating how effective Python can be for powerful pentesting that keeps your software safe. Comprising of three key modules, follow each one to push your Python and security skills to the next level.In the first module, we’ll show you how to get to grips with the fundamentals. This means you’ll quickly find out how to tackle some of the common challenges facing pentesters using custom Python tools designed specifically for your needs. You’ll also learn what tools to use and when, giving you complete confidence when deploying your pentester tools to combat any potential threat.In the next module you’ll begin hacking into the application layer. Covering everything from parameter tampering, DDoS, XXS and SQL injection, it will build on the knowledge and skills you learned in the first module to make you an even more fluent security expert.Finally in the third module, you’ll find more than 60 Python pentesting recipes. We think this will soon become your trusted resource for any pentesting situation.This Learning Path combines some of the best that Packt has to offer in one complete, curated package. It includes content from the following Packt products:? Learning Penetration Testing with Python by Christopher Duffy? Python Penetration Testing Essentials by Mohit? Python Web Penetration Testing Cookbook by Cameron Buchanan,Terry Ip, Andrew Mabbitt, Benjamin May and Dave Mound

Hands-On Deep Learning with R. A practical guide to designing, building, and improving neural network models using R

Michael Pawlus, Rodger Devine

Deep learning enables efficient and accurate learning from a massive amount of data. This book will help you overcome a number of challenges using various deep learning algorithms and architectures with R programming.This book starts with a brief overview of machine learning and deep learning and how to build your first neural network. You’ll understand the architecture of various deep learning algorithms and their applicable fields, learn how to build deep learning models, optimize hyperparameters, and evaluate model performance. Various deep learning applications in image processing, natural language processing (NLP), recommendation systems, and predictive analytics will also be covered. Later chapters will show you how to tackle recognition problems such as image recognition and signal detection, programmatically summarize documents, conduct topic modeling, and forecast stock market prices. Toward the end of the book, you will learn the common applications of GANs and how to build a face generation model using them. Finally, you’ll get to grips with using reinforcement learning and deep reinforcement learning to solve various real-world problems.By the end of this deep learning book, you will be able to build and deploy your own deep learning applications using appropriate frameworks and algorithms.

iOS 17 Programming for Beginners. Unlock the world of iOS development with Swift 5.9, Xcode 15, and iOS 17 – your path to App Store success - Eight Edition

Ahmad Sahar

In a world with nearly 2 million apps on the App Store, the demand for skilled iOS developers has never been higher. iOS 17 Programming for Beginners, Eighth Edition is your gateway to this lucrative and dynamic field. This hands-on guide is tailored for those who are new to iOS and takes you on a journey from learning the Swift language to crafting your own app and seeing it thrive on the App Store.Our approach is hands-on and practical. Each chapter is designed to be a stepping stone in your development journey, providing step-by-step tutorials, real-life examples, and clear explanations of complex concepts. As you progress, you'll not only be skilled in Swift but also incorporate cutting-edge technologies into your apps. You'll learn how to publish your creations and harness the power of iOS 17 through a straightforward and easy to program example app divided into manageable parts.By the time you've completed this book, you'll possess the skills and knowledge to not only develop and publish captivating apps but also leverage online resources to continually enhance your app development prowess.

React Key Concepts. An in-depth guide to React's core features - Second Edition

Maximilian Schwarzmüller

Maximilian Schwarzmüller is a bestselling instructor who has helped more than three million students worldwide learn how to code. His bestselling React video course, “React – The Complete Guide”, has over nine hundred thousand students on Udemy.Max has written this quick-start reference that distills the core concepts of React. Simple explanations, relevant examples, and step-by-step derivations make this guide the ideal resource for busy developers. In this second edition, Max guides you through changes brought by React 19, including the new use() hook, form actions, and how to think about React on the server.This book will support you through your next React projects in giving you a behind-the-scenes understanding of the framework – whether you've just finished Max's video course and are looking for a handy reference, or you’re using a variety of other learning materials and need a single study guide to bring everything together.You’ll find full solutions to all end-of-chapter quizzes and exercises in the book’s GitHub repository.

Applied Machine Learning and High-Performance Computing on AWS. Accelerate the development of machine learning applications following architectural best practices

Mani Khanuja, Farooq Sabir, Shreyas Subramanian, Trenton Potgieter

Machine learning (ML) and high-performance computing (HPC) on AWS run compute-intensive workloads across industries and emerging applications. Its use cases can be linked to various verticals, such as computational fluid dynamics (CFD), genomics, and autonomous vehicles.This book provides end-to-end guidance, starting with HPC concepts for storage and networking. It then progresses to working examples on how to process large datasets using SageMaker Studio and EMR. Next, you’ll learn how to build, train, and deploy large models using distributed training. Later chapters also guide you through deploying models to edge devices using SageMaker and IoT Greengrass, and performance optimization of ML models, for low latency use cases.By the end of this book, you’ll be able to build, train, and deploy your own large-scale ML application, using HPC on AWS, following industry best practices and addressing the key pain points encountered in the application life cycle.