Done in 60 Minutes: Building a Custom DotNetNuke Membership Provider PDF Download

Author: Antonio Chagoury
Publisher: John Wiley & Sons
ISBN: 1118035445
Category : Computers
Languages : en
Pages : 37

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Book Description
This Wrox Blox will give you a high-level overview of the core Membership Provider and its default implementation, (ASP.NET Membership), and demonstrate how to build and configure your own custom provider. The Provider Model is a design pattern introduced in .NET to provide a simple way to extend API functionality. DotNetNuke uses this architecture to allow some of its core functionality to be replaced without modifying core code. While this Wrox Blox describes how to develop a custom DotNetNuke Membership Provider, it also provides some general information about the .NET Framework’s (2.0 and above) Provider Model, the ASP.NET Membership Provider included in the System.Web.Security namespace, and how they relate to DotNetNuke’s core framework. It also discusses reasons to consider writing a custom provider and gives some guidance as to when doing so is recommended and when it may not be a good choice. Because this is an advanced DotNetNuke development topic, readers should already know how to install the source code version of DotNetNuke on your development environment. Therefore, this Wrox Blox does not provide a step-by-step guide on how to do that. If readers need help in setting up a DotNetNuke development environment, visit www.dotnetnuke.com and click on the documentation or forum areas. All code samples accompanying this Wrox Blox are written in VB.NET, although a C# translation of the same code will yield the same functional results. Table of Contents The Provider Model 1 ASP.NET Membership Provider and DotNetNuke 2 Why Build a Custom Membership Provider? 5 Building the Custom Membership Provider 6 Setting Up DotNetNuke 6 Setting Up the Sample CRM Database 7 Putting It All Together 13 Wrapping Up 21 About Antonio Chagoury 22

Author: Michael Collier
Publisher: Microsoft Press
ISBN: 0735697302
Category : Computers
Languages : en
Pages : 400

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Book Description
Microsoft Azure Essentials from Microsoft Press is a series of free ebooks designed to help you advance your technical skills with Microsoft Azure. The first ebook in the series, Microsoft Azure Essentials: Fundamentals of Azure, introduces developers and IT professionals to the wide range of capabilities in Azure. The authors - both Microsoft MVPs in Azure - present both conceptual and how-to content for key areas, including: Azure Websites and Azure Cloud Services Azure Virtual Machines Azure Storage Azure Virtual Networks Databases Azure Active Directory Management tools Business scenarios Watch Microsoft Press’s blog and Twitter (@MicrosoftPress) to learn about other free ebooks in the “Microsoft Azure Essentials” series.

Author: Vivienne Sze
Publisher: Springer Nature
ISBN: 3031017668
Category : Technology & Engineering
Languages : en
Pages : 254

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Book Description
This book provides a structured treatment of the key principles and techniques for enabling efficient processing of deep neural networks (DNNs). DNNs are currently widely used for many artificial intelligence (AI) applications, including computer vision, speech recognition, and robotics. While DNNs deliver state-of-the-art accuracy on many AI tasks, it comes at the cost of high computational complexity. Therefore, techniques that enable efficient processing of deep neural networks to improve key metrics—such as energy-efficiency, throughput, and latency—without sacrificing accuracy or increasing hardware costs are critical to enabling the wide deployment of DNNs in AI systems. The book includes background on DNN processing; a description and taxonomy of hardware architectural approaches for designing DNN accelerators; key metrics for evaluating and comparing different designs; features of DNN processing that are amenable to hardware/algorithm co-design to improve energy efficiency and throughput; and opportunities for applying new technologies. Readers will find a structured introduction to the field as well as formalization and organization of key concepts from contemporary work that provide insights that may spark new ideas.

Author: Ashish Ranjan Jha
Publisher: Packt Publishing Ltd
ISBN: 1789616409
Category : Computers
Languages : en
Pages : 450

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Book Description
Master advanced techniques and algorithms for deep learning with PyTorch using real-world examples Key Features Understand how to use PyTorch 1.x to build advanced neural network models Learn to perform a wide range of tasks by implementing deep learning algorithms and techniques Gain expertise in domains such as computer vision, NLP, Deep RL, Explainable AI, and much more Book DescriptionDeep learning is driving the AI revolution, and PyTorch is making it easier than ever before for anyone to build deep learning applications. This PyTorch book will help you uncover expert techniques to get the most out of your data and build complex neural network models. The book starts with a quick overview of PyTorch and explores using convolutional neural network (CNN) architectures for image classification. You'll then work with recurrent neural network (RNN) architectures and transformers for sentiment analysis. As you advance, you'll apply deep learning across different domains, such as music, text, and image generation using generative models and explore the world of generative adversarial networks (GANs). You'll not only build and train your own deep reinforcement learning models in PyTorch but also deploy PyTorch models to production using expert tips and techniques. Finally, you'll get to grips with training large models efficiently in a distributed manner, searching neural architectures effectively with AutoML, and rapidly prototyping models using PyTorch and fast.ai. By the end of this PyTorch book, you'll be able to perform complex deep learning tasks using PyTorch to build smart artificial intelligence models.What you will learn Implement text and music generating models using PyTorch Build a deep Q-network (DQN) model in PyTorch Export universal PyTorch models using Open Neural Network Exchange (ONNX) Become well-versed with rapid prototyping using PyTorch with fast.ai Perform neural architecture search effectively using AutoML Easily interpret machine learning (ML) models written in PyTorch using Captum Design ResNets, LSTMs, Transformers, and more using PyTorch Find out how to use PyTorch for distributed training using the torch.distributed API Who this book is for This book is for data scientists, machine learning researchers, and deep learning practitioners looking to implement advanced deep learning paradigms using PyTorch 1.x. Working knowledge of deep learning with Python programming is required.

Author: Luca Pietro Giovanni Antiga
Publisher: Simon and Schuster
ISBN: 1638354073
Category : Computers
Languages : en
Pages : 518

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Book Description
“We finally have the definitive treatise on PyTorch! It covers the basics and abstractions in great detail. I hope this book becomes your extended reference document.” —Soumith Chintala, co-creator of PyTorch Key Features Written by PyTorch’s creator and key contributors Develop deep learning models in a familiar Pythonic way Use PyTorch to build an image classifier for cancer detection Diagnose problems with your neural network and improve training with data augmentation Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About The Book Every other day we hear about new ways to put deep learning to good use: improved medical imaging, accurate credit card fraud detection, long range weather forecasting, and more. PyTorch puts these superpowers in your hands. Instantly familiar to anyone who knows Python data tools like NumPy and Scikit-learn, PyTorch simplifies deep learning without sacrificing advanced features. It’s great for building quick models, and it scales smoothly from laptop to enterprise. Deep Learning with PyTorch teaches you to create deep learning and neural network systems with PyTorch. This practical book gets you to work right away building a tumor image classifier from scratch. After covering the basics, you’ll learn best practices for the entire deep learning pipeline, tackling advanced projects as your PyTorch skills become more sophisticated. All code samples are easy to explore in downloadable Jupyter notebooks. What You Will Learn Understanding deep learning data structures such as tensors and neural networks Best practices for the PyTorch Tensor API, loading data in Python, and visualizing results Implementing modules and loss functions Utilizing pretrained models from PyTorch Hub Methods for training networks with limited inputs Sifting through unreliable results to diagnose and fix problems in your neural network Improve your results with augmented data, better model architecture, and fine tuning This Book Is Written For For Python programmers with an interest in machine learning. No experience with PyTorch or other deep learning frameworks is required. About The Authors Eli Stevens has worked in Silicon Valley for the past 15 years as a software engineer, and the past 7 years as Chief Technical Officer of a startup making medical device software. Luca Antiga is co-founder and CEO of an AI engineering company located in Bergamo, Italy, and a regular contributor to PyTorch. Thomas Viehmann is a Machine Learning and PyTorch speciality trainer and consultant based in Munich, Germany and a PyTorch core developer. Table of Contents PART 1 - CORE PYTORCH 1 Introducing deep learning and the PyTorch Library 2 Pretrained networks 3 It starts with a tensor 4 Real-world data representation using tensors 5 The mechanics of learning 6 Using a neural network to fit the data 7 Telling birds from airplanes: Learning from images 8 Using convolutions to generalize PART 2 - LEARNING FROM IMAGES IN THE REAL WORLD: EARLY DETECTION OF LUNG CANCER 9 Using PyTorch to fight cancer 10 Combining data sources into a unified dataset 11 Training a classification model to detect suspected tumors 12 Improving training with metrics and augmentation 13 Using segmentation to find suspected nodules 14 End-to-end nodule analysis, and where to go next PART 3 - DEPLOYMENT 15 Deploying to production

Author: Söhnke M. Bartram
Publisher: CFA Institute Research Foundation
ISBN: 195292703X
Category : Business & Economics
Languages : en
Pages : 95

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Book Description
Artificial intelligence (AI) has grown in presence in asset management and has revolutionized the sector in many ways. It has improved portfolio management, trading, and risk management practices by increasing efficiency, accuracy, and compliance. In particular, AI techniques help construct portfolios based on more accurate risk and return forecasts and more complex constraints. Trading algorithms use AI to devise novel trading signals and execute trades with lower transaction costs. AI also improves risk modeling and forecasting by generating insights from new data sources. Finally, robo-advisors owe a large part of their success to AI techniques. Yet the use of AI can also create new risks and challenges, such as those resulting from model opacity, complexity, and reliance on data integrity.

Author: Thomas Myer
Publisher: Wrox
ISBN: 9780470413388
Category : Computers
Languages : en
Pages : 43

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Book Description
In this Wrox Blox, you will learn how to build a QuickStart blogging tool with CodeIgniter. The blogging tool will include an administrative dashboard that will allow users to create and manage posts and categories. If you’re a PHP developer, CodeIgniter will help you build Rails-like applications without learning a new language. Use MVC and agile technologies, model and schema for products, helpers and libraries, Ajax and Scriptaculous, to create applications like content management, blogs, and forums. Table of Contents Introducing CodeIgniter 2 What’s Model-View-Controller? 2 Why Bother with MVC? 4 Installing and Configuring CodeIgniter 5 The Root Folder 6 The system/Folder 7 The system/application Folder 7 Tweaking the Configuration 8 Getting Started 10 The Public-Facing Site 12 Creating the Template View 14 Creating the Home Page View 16 Creating the Category View 19 Creating the Blog Details View 20 Creating the Login Form 22 Verifying Logins 23 Creating the MAdmins Model 24 Creating the verifyUser() Function 24 A Small Note about Creating Your First User 25 Creating the Admin Dashboard 25 Creating the Dashboard Controller 26 Building the Admin Area 28 Creating the Rest of the Admin Functions 34 Summary 38 About Thomas Myer 39 Usage Rights for Wiley Wrox Blox Any Wrox Blox you purchase from this site will come with certain restrictions that allow Wiley to protect the copyrights of its products. After you purchase and download this title, you: Are entitled to three downloads Are entitled to make a backup copy of the file for your own use Are entitled to print the Wrox Blox for your own use Are entitled to make annotations and comments in the Wrox Blox file for your own use May not lend, sell or give the Wrox Blox to another user May not place the Wrox Blox file on a network or any file sharing service for use by anyone other than yourself or allow anyone other than yourself to access it May not copy the Wrox Blox file other than as allowed above May not copy, redistribute, or modify any portion of the Wrox Blox contents in any way without prior permission from Wiley If you have any questions about these restrictions, you may contact Customer Care at (877) 762-2974 (8 a.m. - 5 p.m. EST, Monday - Friday). If you have any issues related to Technical Support, please contact us at 800-762-2974 (United States only) or 317-572-3994 (International) 8 a.m. - 8 p.m. EST, Monday - Friday).

Author: Patricia Pulliam Phillips
Publisher: Association for Talent Development
ISBN: 1607285851
Category : Business & Economics
Languages : en
Pages : 251

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Book Description
A follow-on to ASTD's best-selling ASTD Handbook for Workplace Learning Professionals, the ASTD Handbook of Measuring and Evaluating Training includes more than 20 chapters written by preeminent practitioners in the learning evaluation field. This practical, how-to handbook covers best practices of learning evaluation and includes information about using technology and evaluating e-learning. Broad subject areas are evaluation planning, data collection, data analysis, and measurement and evaluation at work.

Author:
Publisher:
ISBN: 9781337762021
Category :
Languages : en
Pages :

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Author: Jason N. Gaylord
Publisher: John Wiley & Sons
ISBN: 1118332059
Category : Computers
Languages : en
Pages : 1440

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Book Description
The all-new approach for experienced ASP.NET professionals! ASP.NET is Microsoft's technology for building dynamically generated web pages from database content. Originally introduced in 2002, ASP.NET has undergone many changes in multiple versions and iterations as developers have gained a decade of experience with this popular technology. With that decade of experience, this edition of the book presents a fresh, new overhauled approach. A new focus on how to build ASP.NET sites and applications relying on field-tested reliable methods Integration of "One ASP.NET" philosophy treating ASP.NET Web Forms and ASP.NET MVC as equal tools each with their proper time and place Coverage of hot new ASP.NET 4.5 additions such as the Web API, Websockets and HTML5 & CSS3 use in layout but only to the extent that the tools themselves are practical and useful for working ASP.NET developers Professional ASP.NET 4.5 in C# and VB is an essential tool for programmers who need to be productive and build reliably performing sites with the latest ASP.NET Framework and Visual Studio.