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Pro Deep Learning with TensorFlow 2.0 - Santanu Pattanayak - Bog - APress - Plusbog.dk

Pro Deep Learning with TensorFlow 2.0 - Santanu Pattanayak - Bog - APress - Plusbog.dk

This book builds upon the foundations established in its first edition, with updated chapters and the latest code implementations to bring it up to date with Tensorflow 2.0. Pro Deep Learning with TensorFlow 2.0 begins with the mathematical and core technical foundations of deep learning. Next, you will learn about convolutional neural networks, including new convolutional methods such as dilated convolution, depth-wise separable convolution, and their implementation. You''ll then gain an understanding of natural language processing in advanced network architectures such as transformers and various attention mechanisms relevant to natural language processing and neural networks in general. As you progress through the book, you''ll explore unsupervised learning frameworks that reflect the current state of deep learning methods, such as autoencoders and variational autoencoders. The final chapter covers the advanced topic of generative adversarial networks and their variants, such as cycle consistency GANs and graph neural network techniques such as graph attention networks and GraphSAGE. Upon completing this book, you will understand the mathematical foundations and concepts of deep learning, and be able to use the prototypes demonstrated to build new deep learning applications. What You Will Learn - Understand full-stack deep learning using TensorFlow 2.0 - Gain an understanding of the mathematical foundations of deep learning - Deploy complex deep learning solutions in production using TensorFlow 2.0 - Understand generative adversarial networks, graph attention networks, and GraphSAGE Who This Book Is For: Data scientists and machine learning professionals, software developers, graduate students, and open source enthusiasts.

DKK 519.00
3

Pro Cloud Native Java EE Apps - Luqman Saeed - Bog - APress - Plusbog.dk

Pro Cloud Native Java EE Apps - Luqman Saeed - Bog - APress - Plusbog.dk

This professional guide to Java-based cloud native apps DevOps dives deeper into building and deploying production ready cloud native apps using the increasingly popular open source Eclipse MicroProfile framework, Jakarta EE 10 APIs and the most popular Kubernetes container orchestration tool. After a quick overview of Jakarta EE and MicroProfile, Pro Cloud Native Java EE Apps starts you on your way by walking you through a cloud-native Jakarta EE-based application case study that will be forged piece-by-piece over the course of the book. Next, you''ll interject dependencies and data persistence capabilities as microservices to go with the case study app that you are building. Next, you''ll employ the REST API using Jakarta REST APIs and the MicroProfile RESTClient. You''ll also explore ways to add resilience to your app, keep count with metrics, check on your app''s health, secure your app, and test and complete your production-ready cloud-native app. Finally, you''ll dive into migrating a monolith to become a production ready cloud-native app. After reading this book, you''ll be able to build your own production ready cloud-native Java app using Jakarta EE and MicroProfile. What You Will Learn - Build and deploy a production-ready cloud-native Java app using MicroProfile, Jakarta EE and Kubernetes - Migrate a monolith app to become a cloud-native app - Employ Jakarta EE APIs such as Persistence, CDI and more - Leverage the MicroProfile framework - Explore configurations, resilience, metrics, health, security, and more for your cloud-native apps Who This Book Is For Those software developers and programmers with at least some prior experience using Jakarta EE, MicroProfile. At least some prrior Java experience is expected.

DKK 476.00
3