Home | Amazing | Today | Tags | Publishers | Years | Account | Search 
Camera Networks: The Acquisition and Analysis of Videos over Wide Areas (Synthesis Lectures on Computer Vision)
Camera Networks: The Acquisition and Analysis of Videos over Wide Areas (Synthesis Lectures on Computer Vision)
Camera networks is a highly interdisciplinary area of research that has been very active over the last few years. In this book, we focus specifically on the topic of video understanding in camera networks and touch upon the other related areas (e.g., communication resources, machine learning, cooperative control of multi-agent...
Computational Vision and Medical Image Processing: Recent Trends
Computational Vision and Medical Image Processing: Recent Trends

Nowadays, computationalmethodologies of signal processing and imaging analysis for 2D, 3D and even 4D data are commonly used for various applications in society. For example, Computational Vision systems are progressively used for surveillance tasks, traffic analysis, recognition process, inspection purposes, human-machine interfaces, 3D...

Hands-On Transfer Learning with Python: Implement advanced deep learning and neural network models using TensorFlow and Keras
Hands-On Transfer Learning with Python: Implement advanced deep learning and neural network models using TensorFlow and Keras

Deep learning simplified by taking supervised, unsupervised, and reinforcement learning to the next level using the Python ecosystem

Key Features

  • Build deep learning models with transfer learning principles in Python
  • implement transfer learning to solve real-world research...
Scientific Computing with Python 3
Scientific Computing with Python 3

Key Features

  • Your ultimate resource for getting up and running with Python numerical computations
  • Explore numerical computing and mathematical libraries using Python 3.x code with SciPy and NumPy modules
  • A hands-on guide to implementing mathematics with Python, with complete...
Intelligent Mobile Projects with TensorFlow: Build 10+ Artificial Intelligence apps using TensorFlow Mobile and Lite for iOS, Android, and Raspberry Pi
Intelligent Mobile Projects with TensorFlow: Build 10+ Artificial Intelligence apps using TensorFlow Mobile and Lite for iOS, Android, and Raspberry Pi

Create Deep Learning and Reinforcement Learning apps for multiple platforms with TensorFlow

Key Features

  • Build TensorFlow-powered AI applications for mobile and embedded devices
  • Learn modern AI topics such as computer vision, NLP, and deep reinforcement learning
  • ...
Practical Computer Vision: Extract insightful information from images using TensorFlow, Keras, and OpenCV
Practical Computer Vision: Extract insightful information from images using TensorFlow, Keras, and OpenCV

A practical guide designed to get you from basics to current state of art in computer vision systems.

Key Features

  • Master the different tasks associated with Computer Vision and develop your own Computer Vision applications with ease
  • Leverage the power of Python,...
Bluetooth Essentials for Programmers
Bluetooth Essentials for Programmers
This book provides an introduction to Bluetooth programming, with a specific focus on developing real code. The authors discuss the major concepts and techniques involved in Bluetooth programming, with special emphasis on how they relate to other networking technologies. They provide specific descriptions and examples for creating applications in...
Neural Networks: Computational Models and Applications (Studies in Computational Intelligence)
Neural Networks: Computational Models and Applications (Studies in Computational Intelligence)

Artificial neural networks, or simply called neural networks, refer to the various mathematical models of human brain functions such as perception, computation and memory. It is a fascinating scientific challenge of our time to understand how the human brain works. Modeling neural networks facilitates us in investigating the...

Deep Learning with Applications Using Python: Chatbots and Face, Object, and Speech Recognition With TensorFlow and Keras
Deep Learning with Applications Using Python: Chatbots and Face, Object, and Speech Recognition With TensorFlow and Keras
Explore deep learning applications, such as computer vision, speech recognition, and chatbots, using frameworks such as TensorFlow and Keras. This book helps you to ramp up your practical know-how in a short period of time and focuses you on the domain, models, and algorithms required for deep learning applications....
Beginning Robotics with Raspberry Pi and Arduino: Using Python and OpenCV
Beginning Robotics with Raspberry Pi and Arduino: Using Python and OpenCV

Learn how to use a Raspberry Pi in conjunction with an Arduino to build a basic robot with advanced capabilities. Getting started in robotics does not have to be difficult. This book is an insightful and rewarding introduction to robotics and a catalyst for further directed study. 

You'll be led step by step...

Getting Started with Electronic Projects
Getting Started with Electronic Projects

Build thrilling and intricate electronic projects using LM555, ZigBee, and BeagleBone

About This Book

  • Get acquainted with fundamental concepts such as tools and circuits required for the projects
  • Develop stunning cost-effective projects and build your own range of designs including...
Practical Computer Vision Applications Using Deep Learning with CNNs: With Detailed Examples in Python Using TensorFlow and Kivy
Practical Computer Vision Applications Using Deep Learning with CNNs: With Detailed Examples in Python Using TensorFlow and Kivy
Deploy deep learning applications into production across multiple platforms. You will work on computer vision applications that use the convolutional neural network (CNN) deep learning model and Python. This book starts by explaining the traditional machine-learning pipeline, where you will...
Result Page: 78 77 76 75 74 73 72 71 70 69 68 
©2019 LearnIT (support@pdfchm.net) - Privacy Policy