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TensorFlow 2.0 Quick Start Guide: Get up to speed with the newly introduced features of TensorFlow 2.0
TensorFlow 2.0 Quick Start Guide: Get up to speed with the newly introduced features of TensorFlow 2.0

Perform supervised and unsupervised machine learning and learn advanced techniques such as training neural networks.

Key Features

  • Train your own models for effective prediction, using high-level Keras API
  • Perform supervised and unsupervised machine learning and learn...
Modern Public Information Technology Systems: Issues and Challenges
Modern Public Information Technology Systems: Issues and Challenges
The nature of governance is rapidly changing, due to new technologies which expand public sector capabilities. Modern Public Information Technology Systems: Issues and Challenges examines the most important dimensions of managing information technology in the public sector. It explores the impact of information technology on governmental...
Obstetric/Gynecologic, An Issue of Ultrasound Clinics, 1e (The Clinics: Radiology)
Obstetric/Gynecologic, An Issue of Ultrasound Clinics, 1e (The Clinics: Radiology)
This issue of the Ultrasound Clinics is dedicated to ultrasound imaging of the abdomen. Abdominal ultrasound is often the first-line imaging modality used to evaluate the kidneys, liver, gallbladder, pancreas, spleen, abdominal aorta, and other blood vessels in the abdomen, and as such can be extremely helpful in...
Artificial Neural Networks with Java: Tools for Building Neural Network Applications
Artificial Neural Networks with Java: Tools for Building Neural Network Applications
Use Java to develop neural network applications in this practical book. After learning the rules involved in neural network processing, you will manually process the first neural network example. This covers the internals of front and back propagation, and facilitates the understanding of the main principles of neural...
Machine Learning in Computer Vision (Computational Imaging and Vision)
Machine Learning in Computer Vision (Computational Imaging and Vision)
The goal of computer vision research is to provide computers with humanlike
perception capabilities so that they can sense the environment, understand
the sensed data, take appropriate actions, and learn from this experience in
order to enhance future performance. The field has evolved from the application
of classical pattern
...
Tree-Structure based Hybrid Computational Intelligence: Theoretical Foundations and Applications
Tree-Structure based Hybrid Computational Intelligence: Theoretical Foundations and Applications

Research in computational intelligence is directed toward building thinking machines and improving our understanding of intelligence. As evident, the ultimate achievement in this field would be to mimic or exceed human cognitive capabilities including reasoning, recognition, creativity, emotions, understanding, learning and so on. In this book,...

Evolving Connectionist Systems: The Knowledge Engineering Approach (Evolving Connectionist Systems)
Evolving Connectionist Systems: The Knowledge Engineering Approach (Evolving Connectionist Systems)
This second edition of Evolving Connectionist Systems presents generic computational models and techniques that can be used for the development of evolving, adaptive modelling systems, as well as new trends including computational neuro-genetic modelling and quantum information processing related to evolving systems. New applications, such as...
Discovery Science
Discovery Science
This book constitutes the refereed proceedings of the 5th International Conference on Discovery Science, DS 2002, held in Lübeck, Germany, in November 2002.

The 17 revised full papers and 27 revised short papers presented together with 5 invited contributions were carefully reviewed and selected from 76 submissions. The papers are...

Vision with Direction: A Systematic Introduction to Image Processing and Computer Vision
Vision with Direction: A Systematic Introduction to Image Processing and Computer Vision

This introductory textbook presents the modern signal processing concepts used in computer vision and image analysis in a systematic and mathematically coherent way. For the first time in a textbook on image processing, single direction, group direction, corners and edges, Hough transform, and motion estimation are developed in a principled...

Neural Networks in Business Forecasting
Neural Networks in Business Forecasting

Forecasting is one of the most important activities that form the basis for strategic, tactical, and operational decisions in all business organizations. Recently, neural networks have emerged as an important tool for business forecasting. There are considerable interests and applications in forecasting using neural networks. Neural Networks...

Neural Networks
Neural Networks

Neural networks represent a powerful data processing technique that has reached maturity and broad application. When clearly understood and appropriately used, they are a mandatory component in the toolbox of any engineer who wants make the best use of the available data, in order to build models, make predictions, mine data, recognize shapes...

Hands-On Natural Language Processing with Python: A practical guide to applying deep learning architectures to your NLP applications
Hands-On Natural Language Processing with Python: A practical guide to applying deep learning architectures to your NLP applications

Foster your NLP applications with the help of deep learning, NLTK, and TensorFlow

Key Features

  • Weave neural networks into linguistic applications across various platforms
  • Perform NLP tasks and train its models using NLTK and TensorFlow
  • Boost your NLP...
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