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Books tags: architectures
Advanced Deep Learning with Keras: Apply deep learning techniques, autoencoders, GANs, variational autoencoders, deep reinforcement learning, policy gradients, and more
Advanced Deep Learning with Keras: Apply deep learning techniques, autoencoders, GANs, variational autoencoders, deep reinforcement learning, policy gradients, and more

A comprehensive guide to advanced deep learning techniques, including autoencoders, GANs, VAEs, and deep reinforcement learning that drive today's most impressive AI results

Key Features

  • Explore the most advanced deep learning techniques that drive modern AI results
  • ...
Mastering Spring Cloud: Build self-healing, microservices-based, distributed systems using Spring Cloud
Mastering Spring Cloud: Build self-healing, microservices-based, distributed systems using Spring Cloud

Learn how to build, test, secure, deploy, and efficiently consume services across distributed systems.

Key Features

  • Explore the wealth of options provided by Spring Cloud for wiring service dependencies in microservice systems.
  • Create microservices utilizing Spring...
Practical NATS: From Beginner to Pro
Practical NATS: From Beginner to Pro

Learn to use NATS and messaging as a solution for communication between services. The NATS project has been around since 2010, but it has become more popular in recent years due to how well it fits into the paradigm of cloud native applications and microservices architectures. It’s fast becoming a very attractive option thanks...

The Full Stack Developer: Your Essential Guide to the Everyday Skills Expected of a Modern Full Stack Web Developer
The Full Stack Developer: Your Essential Guide to the Everyday Skills Expected of a Modern Full Stack Web Developer

Understand the technical foundations, as well as the non-programming skills needed to be a successful full stack web developer. This book reveals the reasons why a truly successful full stack developer does more than write code. 

You will learn the principles of the topics needed to help a developer new to agile or full...
Deep Learning for Natural Language Processing: Creating Neural Networks with Python
Deep Learning for Natural Language Processing: Creating Neural Networks with Python
Discover the concepts of deep learning used for natural language processing (NLP), with full-fledged examples of neural network models such as recurrent neural networks, long short-term memory networks, and sequence-2-sequence models.

You’ll start by covering the mathematical prerequisites...
Applied Deep Learning: A Case-Based Approach to Understanding Deep Neural Networks
Applied Deep Learning: A Case-Based Approach to Understanding Deep Neural Networks

Work with advanced topics in deep learning, such as optimization algorithms, hyper-parameter tuning, dropout, and error analysis as well as strategies to address typical problems encountered when training deep neural networks. You’ll begin by studying the activation functions mostly with a single neuron (ReLu, sigmoid, and...

Reactive Design Patterns
Reactive Design Patterns

Summary

Reactive Design Patterns is a clearly written guide for building message-driven distributed systems that are resilient, responsive, and elastic. In this book you'll find patterns for messaging, flow control, resource management, and concurrency, along with practical issues like test-friendly...

Thinking Security: Stopping Next Year's Hackers (Addison-Wesley Professional Computing Series)
Thinking Security: Stopping Next Year's Hackers (Addison-Wesley Professional Computing Series)

If you’re a security or network professional, you already know the “do’s and don’ts”: run AV software and firewalls, lock down your systems, use encryption, watch network traffic, follow best practices, hire expensive consultants . . . but it isn’t working. You’re at greater risk...

Mastering Cloud Computing: Foundations and Applications Programming
Mastering Cloud Computing: Foundations and Applications Programming

Mastering Cloud Computing is designed for undergraduate students learning to develop cloud computing applications. Tomorrow's applications won’t live on a single computer but will be deployed from and reside on a virtual server, accessible anywhere, any time. Tomorrow's application developers need to understand the...

Complex Valued Nonlinear Adaptive Filters: Noncircularity, Widely Linear and Neural Models
Complex Valued Nonlinear Adaptive Filters: Noncircularity, Widely Linear and Neural Models

This book was written in response to the growing demand for a text that provides a unified treatment of linear and nonlinear complex valued adaptive filters, and methods for the processing of general complex signals (circular and noncircular). It brings together adaptive filtering algorithms for feedforward (transversal) and feedback...

Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems

Graphics in this book are printed in black and white.

Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data....

Mobile Commerce : Opportunities, Applications, and Technologies of Wireless Business
Mobile Commerce : Opportunities, Applications, and Technologies of Wireless Business
This book provides the context, architectures, case studies, and intelligent analysis that will help the reader grasp the rapidly evolving subject of mobile commerce. May explains the technological aspects of mobile commerce to business decision makers and the business models to the technologists who design and build these electronic systems. It...
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