Foundations of Information Security 
by Jason Andress
A high-level survey of the information security field by best-selling author Jason Andress. The book covers the basics of a wide variety of topics, from authentication and authorization to maintaining confidentiality and performing penetration testing.Using real-world security breaches as examples, Foundations of Information Security explores common applications of these concepts, such as operations securit...
Price: $26.30 | Publisher: No Starch Press | Release: 2019
by Adrian Pruteanu
Becoming the Hacker will teach you how to approach web penetration testing with an attacker's mindset. While testing web applications for performance is common, the ever-changing threat landscape makes security testing much more difficult for the defender.There are many web application tools that claim to provide a complete survey and defense against potential threats, but they must be analyzed in line...
Price: $39.99 | Publisher: Packt Publishing | Release: 2019
PyTorch Deep Learning Hands-On 
by Sherin Thomas, Sudhanshu Passi
PyTorch Deep Learning Hands-On is a book for engineers who want a fast-paced guide to doing deep learning work with PyTorch. It is not an academic textbook and does not try to teach deep learning principles. The book will help you most if you want to get your hands dirty and put PyTorch to work quickly.PyTorch Deep Learning Hands-On shows how to implement the major deep learning architectures in PyTorch. It...
Price: $39.99 | Publisher: Packt Publishing | Release: 2019
by Koshik Raj
Blockchain technology is a combination of three popular concepts: cryptography, peer-to-peer networking, and game theory. This book is for anyone who wants to dive into blockchain from first principles and learn how decentralized applications and cryptocurrencies really work.This book begins with an overview of blockchain technology, including key definitions, its purposes and characteristics, so you can as...
Price: $39.99 | Publisher: Packt Publishing | Release: 2019
Advanced Deep Learning with Python
by Ivan Vasilev
In order to build robust deep learning systems, you'll need to understand everything from how neural networks work to training CNN models. In this book, you'll discover newly developed deep learning models, methodologies used in the domain, and their implementation based on areas of application.You'll start by understanding the building blocks and the math behind neural networks, and then mov...
Price: $44.99 | Publisher: Packt Publishing | Release: 2019
Deep Learning with TensorFlow 2 and Keras, 2nd Edition
by Antonio Gulli, Amita Kapoor, Sujit Pal
Deep Learning with TensorFlow 2 and Keras, Second Edition teaches neural networks and deep learning techniques alongside TensorFlow (TF) and Keras. You'll learn how to write deep learning applications in the most powerful, popular, and scalable machine learning stack available.TensorFlow is the machine learning library of choice for professional applications, while Keras offers a simple and powerful Py...
Price: $33.21 | Publisher: Packt Publishing | Release: 2019
Deep Belief Nets in C++ and CUDA C: Volume 1
by Timothy Masters
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 massive parallel processing on computers with CUDA-capable video display cards.The first of three in a series ...
Price: $32.13 | Publisher: Apress | Release: 2018
Deep Belief Nets in C++ and CUDA C: Volume 2
by Timothy Masters
Discover the essential building blocks of a common and powerful form of deep belief net: the autoencoder. You'll take this topic beyond current usage by extending it to the complex domain for signal and image processing applications. Deep Belief Nets in C++ and CUDA C: Volume 2 also covers several algorithms for preprocessing time series and image data. These algorithms focus on the creation of complex...
Price: $37.99 | Publisher: Apress | Release: 2018
Deep Belief Nets in C++ and CUDA C: Volume 3
by Timothy Masters
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 of learning abstract concepts built from simpler primitives. These models are especially useful for image processing a...
Price: $34.99 | Publisher: Apress | Release: 2018
Network Programmability and Automation
by Jason Edelman, Scott S. Lowe, Matt Oswalt
Like sysadmins before them, network engineers are finding that they cannot do their work manually anymore. As the field faces new protocols, technologies, delivery models, and a pressing need for businesses to be more agile and flexible, network automation is becoming essential. This practical guide shows network engineers how to use a range of technologies and tools - including Linux, Python, JSON, and XML...
Price: $22.56 | Publisher: O'Reilly Media | Release: 2018