Computer & IT

Discover how to leverage Keras, the powerful and easy-to-use open source Python library for developing and evaluating deep learning modelsKey Features Get to grips with various model evaluation metrics, including sensitivity, specificity, and AUC scores Explore advanced concepts such as sequential memory and sequential modeling Reinforce your skills with real-world development, screencasts, and knowledge checksBook DescriptionNew experiences can be intimidating, but not this one! This beginner's guide to deep learning is here to help you explore deep learning from scratch with Keras, and be on your way to training your first ever neural networks.What sets Keras apart from other deep learning frameworks is its simplicity. With over two hundred thousand users, Keras has a stronger adoption in industry and the research community than any other deep learning framework.The Deep Learning with Keras Workshop starts by introducing you to the fundamental concepts of machine learning using the scikit-learn package. After learning how to perform the linear transformations that are necessary for building neural networks, you'll build your first neural network with the Keras library. As you advance, you'll learn how to build multi-layer neural networks and recognize when your model is underfitting or overfitting to the training data. With the help of practical exercises, you'll learn to use cross-validation techniques to evaluate your models and then choose the optimal hyperparameters to fine-tune their performance. Finally, you'll explore recurrent neural networks and learn how to train them to predict values in sequential data.By the end of this book, you'll have developed the skills you need to confidently train your own neural network models.What you will learn Gain insights into the fundamentals of neural networks Understand the limitations of machine learning and how it differs from deep learning Build image classifiers with convolutional neural networks Evaluate, tweak, and improve your models with techniques such as cross-validation Create prediction models to detect data patterns and make predictions Improve model accuracy with L1, L2, and dropout regularizationWho this book is forIf you know the basics of data science and machine learning and want to get started with advanced machine learning technologies like artificial neural networks and deep learning, then this is the book for you. To grasp the concepts explained in this deep learning book more effectively, prior experience in Python programming and some familiarity with statistics and logistic regression are a must.

This book presents an exciting new theory of time for a world built on hyper-fast digital media networks.It explains how super-powerful computers and global webs of connection have remade time through speed.

Taking the reader on a journey through queer manifestations in games, this book advocates for video games as a rich, political and cultural medium, which provides us with tools to navigate the future of gaming.

'Generativ AI: 17 vinkler til forståelse og anvendelse' er en lærerig bog, der åbner døren til en spændende verden af generativ kunstig intelligens. Skrevet af to brødre med passion for AI, tager denne bog dig med på en rejse fra teori til praksis, og fra nysgerrighed til forståelse af generativ AI.Med et særligt fokus på populære sprogmodeller som ChatGPT og tekst-til-billede værktøjer, giver bogen dig indblik i, hvordan generativ AI kan påvirke vores måde at tænke, skabe og interagere med teknologi på. Struktureret i 17 uafhængige 'vinkler', dækker bogen et bredt spektrum af emner - fra grundlæggende principper til diverse anvendelsesmetoder.Ud over at give dig en teoretisk forståelse, baseret på den nyeste forskning på området, får du også en praktisk håndbog, der kan tage din brug af AI til et højere niveau. Uanset om du er nybegynder eller erfaren bruger, giver bogen dig værktøjerne og viden til selv at udforske og anvende generativ AI, hvor end du ønsker.Du kan læse mere om bogen på hjemmesiden:https://momentum-ai.dk/bog/

There have been significant changes in the last decade in the fields of education and marketing. Both have been transformed by technology and globalization. Educator Dr. Sabra Brock has examined the foundations of these transformations and written about emerging trends in marketing and post-secondary education. This book is a collection of pieces she has authored and co-authored.

This book helps SAP architects and SAP Basis administrators deploy and operate SAP S/4HANA systems on the most common public cloud platforms. Market-leading cloud offerings are covered, including Amazon Web Services, Microsoft Azure, and Google Cloud. You will gain an end-to-end understanding of the initial implementation of SAP S/4HANA systems on those platforms. You will learn how to move away from the big monolithic SAP ERP systems and arrive at an environment with a central SAP S/4HANA system as the digital core surrounded by cloud-native services.The book begins by introducing the core concepts of Hyperscaler cloud platforms that are relevant to SAP. You will learn about the architecture of SAP S/4HANA systems on public cloud platforms, with specific content provided for each of the major platforms. The book simplifies the deployment of SAP S/4HANA systems in public clouds by providing step-by-step instructions and helping you deal with thecomplexity of such a deployment. Content in the book is based on best practices, industry lessons learned, and architectural blueprints, helping you develop deep insights into the operations of SAP S/4HANA systems on public cloud platforms. Reading this book enables you to build and operate your own SAP S/4HANA system in the public cloud with a minimum of effort.What You Will LearnChoose the right Hyperscaler platform for your future SAP S/4HANA workloadsStart deploying your first SAP S/4HANA system in the public cloudAvoid typical pitfalls during your implementationApply and leverage cloud-native services for your SAP S/4HANA systemSave costs by choosing the right architecture and build a robust architecture for your most critical SAP systemsMeet your business¿ criteria for availability and performance by having the right sizing in placeIdentify further use cases whenoperating SAP S/4HANA in the public cloudWho This Book Is ForSAP architects looking for an answer on how to move SAP S/4HANA systems from on-premises into the cloud; those planning to deploy to one of the three major platforms from Amazon Web Services, Microsoft Azure, and Google Cloud Platform; and SAP Basis administrators seeking a detailed and realistic description of how to get started on a migration to the cloud and how to drive that cloud implementation to completion

Author Zoe Griffin is an established blogger, who set up her blog Live Like a VIP in 2009. She's worked with several vloggers and has noticed that the most popular ones have things in common. This book explains what these things are - so you can adopt similar tactics and get rich vlogging!