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Python Deep Learning: Exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow, 2nd Edition
Python Deep Learning: Exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow, 2nd Edition

Learn advanced state-of-the-art deep learning techniques and their applications using popular Python libraries

Key Features

  • Build a strong foundation in neural networks and deep learning with Python libraries
  • Explore advanced deep learning techniques and their applications...
Practical Microservices Architectural Patterns: Event-Based Java Microservices with Spring Boot and Spring Cloud
Practical Microservices Architectural Patterns: Event-Based Java Microservices with Spring Boot and Spring Cloud
Take your distributed applications to the next level and see what the reference architectures associated with microservices can do for you. This book begins by showing you the distributed computing architecture landscape and provides an in-depth view of microservices architecture. Following this, you will work with CQRS, an essential...
Financial Cybersecurity Risk Management: Leadership Perspectives and Guidance for Systems and Institutions
Financial Cybersecurity Risk Management: Leadership Perspectives and Guidance for Systems and Institutions
Understand critical cybersecurity and risk perspectives, insights, and tools for the leaders of complex financial systems and markets. This book offers guidance for decision makers and helps establish a framework for communication between cyber leaders and front-line professionals. Information is provided to help in the analysis of...
Implementing Domain-Driven Design
Implementing Domain-Driven Design

“For software developers of all experience levels looking to improve their results, and design and implement domain-driven enterprise applications consistently with the best current state of professional practice, Implementing Domain-Driven Design will impart a treasure trove of knowledge hard won within the DDD and...

Mastering Microsoft Power BI: Expert techniques for effective data analytics and business intelligence
Mastering Microsoft Power BI: Expert techniques for effective data analytics and business intelligence

Design, create and manage robust Power BI solutions to gain meaningful business insights

Key Features

  • Master all the dashboarding and reporting features of Microsoft Power BI
  • Combine data from multiple sources, create stunning visualizations and publish your reports across...
Modern X86 Assembly Language Programming: Covers x86 64-bit, AVX, AVX2, and AVX-512
Modern X86 Assembly Language Programming: Covers x86 64-bit, AVX, AVX2, and AVX-512
Since the invention of the personal computer, software developers have used x86 assembly language to create innovative solutions for a wide variety of algorithmic challenges. During the early days of the PC era, it was common practice to code large portions of a program or complete applications using x86 assembly...
Harnessing Performance Variability in Embedded and High-performance Many/Multi-core Platforms: A Cross-layer Approach
Harnessing Performance Variability in Embedded and High-performance Many/Multi-core Platforms: A Cross-layer Approach

This book describes the state-of-the art of industrial and academic research in the architectural design of heterogeneous, multi/many-core processors. The authors describe methods and tools to enable next-generation embedded and high-performance heterogeneous processors to confront cost-effectively the inevitable variations by...

Python Deep Learning Projects: 9 projects demystifying neural network and deep learning models for building intelligent systems
Python Deep Learning Projects: 9 projects demystifying neural network and deep learning models for building intelligent systems

Insightful projects to master deep learning and neural network architectures using Python and Keras

Key Features

  • Explore deep learning across computer vision, natural language processing (NLP), and image processing
  • Discover best practices for the training of deep neural...
Support Vector Machines for Pattern Classification (Advances in Pattern Recognition)
Support Vector Machines for Pattern Classification (Advances in Pattern Recognition)

Support vector machines (SVMs), were originally formulated for two-class classification problems, and have been accepted as a powerful tool for developing pattern classification and function approximations systems. This book provides a unique perspective of the state of the art in SVMs by taking the only approach that focuses on classification...

Developing Microservices with Node.js
Developing Microservices with Node.js

Key Features

  • Real world example explained chapter after chapter with code examples.
  • Useful concepts for other languages like Java or PHP
  • Easy to follow by people with little to none experience in Node.js
  • Node.js Version 0.12.2 and the latest compatible versions of Seneca and...
Ultra Low Power ECG Processing System for IoT Devices (Analog Circuits and Signal Processing)
Ultra Low Power ECG Processing System for IoT Devices (Analog Circuits and Signal Processing)

?This book describes an ECG processing architecture that guides biomedical SoC developers, from theory to implementation and testing. The authors provide complete coverage of the digital circuit implementation of an ultra-low power biomedical SoC,  comprised of a detailed description of an ECG processor implemented and...

The Definitive Guide to AWS Infrastructure Automation: Craft Infrastructure-as-Code Solutions
The Definitive Guide to AWS Infrastructure Automation: Craft Infrastructure-as-Code Solutions

Discover the pillars of AWS infrastructure automation, starting with API-driven infrastructure concepts and its immediate benefits such as increased agility, automation of the infrastructure life cycle, and flexibility in experimenting with new architectures. With this base established, the book discusses infrastructure-as-code...

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