Libros de Informática práctica, página 24 de 348

Este libro recoge los procesos de seguridad globales basados en una política de seguridad, poniendo énfasis en las áreas que hacen referencia a un perímetro seguro, una conectividad segura, la administracion de la seguridad, los servicios de identidad y la deteccion de intrusiones. Junto con el curso online del programa de la Academia de Networking de Cisco. Ademas abarca la instalacion, configuracion, monitorizacion y mantenimiento usando la interfaz de linea de comandos (CLI) de Cisco y los administradores de dispositivos, basados en la Web del Cisco IOS Firewall y el PIX Security Appliance.

Este libro presenta la realidad actual del tejido empresarial, frente a los retos de la ciberseguridad, con una mirada práctica y real. Haciendo hincapié en la divulgación y concienciación de un tema cada vez mas preocupante, los ciberataques.

Get to grips with deep learning techniques for building image processing applications using PyTorch with the help of code notebooks and test questionsKey FeaturesImplement solutions to 50 real-world computer vision applications using PyTorchUnderstand the theory and working mechanisms of neural network architectures and their implementationDiscover best practices using a custom library created especially for this bookBook DescriptionDeep learning is the driving force behind many recent advances in various computer vision (CV) applications. This book takes a hands-on approach to help you to solve over 50 CV problems using PyTorch1.x on real-world datasets.Youll start by building a neural network (NN) from scratch using NumPy and PyTorch and discover best practices for tweaking its hyperparameters. Youll then perform image classification using convolutional neural networks and transfer learning and understand how they work. As you progress, youll implement multiple use cases of 2D and 3D multi-object detection, segmentation, human-pose-estimation by learning about the R-CNN family, SSD, YOLO, U-Net architectures, and the Detectron2 platform. The book will also guide you in performing facial expression swapping, generating new faces, and manipulating facial expressions as you explore autoencoders and modern generative adversarial networks. Youll learn how to combine CV with NLP techniques, such as LSTM and transformer, and RL techniques, such as Deep Q-learning, to implement OCR, image captioning, object detection, and a self-driving car agent. Finally, youll move your NN model to production on the AWS Cloud.By the end of this book, youll be able to leverage modern NN architectures to solve over 50 real-world CV problems confidently.What You Will LearnTrain a NN from scratch with NumPy and PyTorch Implement 2D and 3D multi-object detection and segmentation Generate digits and DeepFakes with autoencoders and advanced GANs Manipulate images using CycleGAN, Pix2PixGAN, StyleGAN2, and SRGAN Combine CV with NLP to perform OCR, image captioning, and object detection Combine CV with reinforcement learning to build agents that play pong and self-drive a car Deploy a deep learning model on the AWS server using FastAPI and Docker Implement over 35 NN architectures and common OpenCV utilitiesWho this book is forThis book is for beginners to PyTorch and intermediate-level machine learning practitioners who are looking to get well-versed with computer vision techniques using deep learning and PyTorch. If you are just getting started with neural networks, youll find the use cases accompanied by notebooks in GitHub present in this book useful. Basic knowledge of the Python programming language and machine learning is all you need to get started with this book.

The book focuses on a paradigm of blockchain technology that addresses cyber security The challenges related to cyber security and the solutions based on Software Defined Networks are discussed

INTELIGENCIA ARTIFICIAL Y LENGUAJE C#: CONCEPTOS E IMPLEMENTACION (2ª ED.)

Estos dos libros ofrecen al lector el máximo de información sobre los fundamentos del lenguaje C# y su uso para la implementación de técnicas de inteligencia artificial. 1033 páginas redactadas por e

Syngress In LEGO Mindstorm Masterpieces, some of the world's leading LEGO Mindstorms inventors share their knowledge and development secrets. The unique style of this book will allow it to cover an incredibly broad range of topics in unparalleled detail. Chapters within the book will include detailed discussions of the mechanics that drive the robot - and also provide step-by-step construction diagrams for each of the robots. This is perfect book for LEGO hobbyists looking to take their skills to the next level whether they build world-class competitive robots or just like to mess around for the fun of it. For experienced users of LEGO Mindstorms, LEGO Mindstorms Masterpiece is composed of three fundamental sections: Part One: A review of the advanced robot building concepts and theories. Part Two: Step-by-step building instructions for a series of complex models. The companion programming code is included, along with in-depth explanations of concepts needed for the specific models. Robots include Line Followers, Bipeds, Stair and Wall Climbers, a Joystick Controlled Cannon, a Robotic Game Player, Plant Waterer, and a Drink Mixer. Part Three: Ideas for modifying the building instructions by expanding the pieces and kits. Topics covered: 1. Behavior: This section includes robots designed to interact with the environment, or with other robots. Behavior is the key word as the robots are designed to behave in some specific way, and all the technical details and implementations are secondary to this main goal. 2. Motion: The projects in this category are aimed at solving some specific motion problem. The focurobots is on the mechanical techniques rather than on software. 3. Interaction: These projects allow the reader to build robots for the purpose of interacting with the user by playing games or responding to user commands in real time. 4. Automation: Opposite of the previous category, this one hosts robots designed to perform totally automated operations. These projects will build robots able to complete tasks without human intervention. 5. Calculus: The most abstract of the sections contain robots with minimum knowledge of the external world. Pneumatic ALUs, and Turning machines are fully explained.

Dr. Gary FlakeIn this book, Gary William Flake develops in depth the simple ideas that recurrent rules can produce rich and complicated behaviours. Distinguishing agents (such as molecules, cells, animals, and species) from their interactions (like chemical reactions, immune system responses, sexual reproduction and evolution), Flake argues that it is the computational properties of interactions that account for much of what we think of as beautiful and interesting . From this basic thesis, Flake explores what he considers to be today's four most interesting computational topics: fractals, chaos, complex systems and adaptation. Each of the book's parts can be read independently, enabling even the casual reader to understand and work with the basic equations and programs. Yet the parts are bound together by the theme of the computer as a laboratory and a metaphor for understanding the universe. The inspired reader will experiment further with the ideas presented to create fractal landscapes, chaotic systems, artificial life forms, genetic algorithms, and artificial neural networks.