Infrastructure Software Modules for Enterprises

Infrastructure Software Modules for Enterprises

Reduce the time spent analyzing infrastructure modules while lowering your cost and resources in the process. Most software project teams that develop custom software build the systems from scratch. With limited budgets and time, they often concentrate on the business functionality and try to minimize or ignore the…

Deep Belief Nets in C++ and CUDA C: Volume 3

Deep Belief Nets in C++ and CUDA C: Volume 3

Discover the essential building blocks of a common and powerful form of deep belief network: convolutional nets. This book shows you how the structure of these elegant models is much closer to that of human brains than traditional neural networks; they have a ‘thought process’ that is capable…

Beginning STM32

Beginning STM32

Using FreeRTOS and libopencm3 instead of the Arduino software environment, this book will help you develop multi-tasking applications that go beyond Arduino norms. In addition to the usual peripherals found in the typical Arduino device, the STM32 device includes a USB controller, RTC (Real Time Clock), DMA (Direct…

Robot Operating System for Absolute Beginners

Robot Operating System for Absolute Beginners

Learn how to get started with robotics programming using Robot Operation System (ROS). Targeted for absolute beginners in ROS, Linux, and Python, this short guide shows you how to build your own robotics projects. ROS is an open-source and flexible framework for writing robotics software. With a hands-on…

Troubleshooting BGP

Troubleshooting BGP

The definitive guide to troubleshooting today’s complex BGP networks This is today’s best single source for the techniques you need to troubleshoot BGP issues in modern Cisco IOS, IOS XR, and NxOS environments. BGP has expanded from being an Internet routing protocol and provides a scalable control plane…

Deep Belief Nets in C++ and CUDA C: Volume 1

Deep Belief Nets in C++ and CUDA C: Volume 1

Discover the essential building blocks of the most common forms of deep belief networks. At each step this book provides intuitive motivation, a summary of the most important equations relevant to the topic, and concludes with highly commented code for threaded computation on modern CPUs as well as…

Assessing and Improving Prediction and Classification

Assessing and Improving Prediction and Classification

Assess the quality of your prediction and classification models in ways that accurately reflect their real-world performance, and then improve this performance using state-of-the-art algorithms such as committee-based decision making, resampling the dataset, and boosting.  This book presents many important techniques for building powerful, robust models and quantifying…