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Deep Learning for Computer Vision: Expert techniques to train advanced neural networks using TensorFlow and Keras
Deep Learning for Computer Vision: Expert techniques to train advanced neural networks using TensorFlow and Keras

Learn how to model and train advanced neural networks to implement a variety of Computer Vision tasks

Key Features

  • Train different kinds of deep learning model from scratch to solve specific problems in Computer Vision
  • Combine the power of Python, Keras, and TensorFlow to...
Node.js Web Development: Server-side development with Node 10 made easy, 4th Edition
Node.js Web Development: Server-side development with Node 10 made easy, 4th Edition

Create a fault-tolerant backend for your real-time applications using Docker, Node.js 10, and MongoDB, and implement HTTPS for hardened security

Key Features

  • Learn server-side programming with JavaScript and Node.js 10
  • Explore the latest JavaScript features and ECMAScript...
Neural Networks in Atmospheric Remote Sensing (Artech House Remote Sensing Library)
Neural Networks in Atmospheric Remote Sensing (Artech House Remote Sensing Library)

A neural network refers to interconnecting artificial neurons that mimic the properties of biological neurons to perform sophisticated, intelligent tasks. This authoritative reference offers a comprehensive understanding of the underpinnings and practical applications of artificial neural networks and their use in the retrieval of geophysical...

Natural Language Processing Recipes: Unlocking Text Data with Machine Learning and Deep Learning using Python
Natural Language Processing Recipes: Unlocking Text Data with Machine Learning and Deep Learning using Python
Implement natural language processing applications with Python using a problem-solution approach. This book has numerous coding exercises that will help you to quickly deploy natural language processing techniques, such as text classification, parts of speech identification,...
The Geometry of Information Retrieval
The Geometry of Information Retrieval
"This is a very interesting book, which appears to provide a solid foundation for future research...van Rijsbergen's explanations are well written and logical. In addition, there are many pointers to other sources of relevant information. This book would be of particular interest to those conducting IR, Artificial Intelligence or Cognitive...
How to Do Everything with Microsoft Office Access 2003
How to Do Everything with Microsoft Office Access 2003
The Microsoft Office Access 2003 database management system can be a powerful tool for you
whether you need to handle business or personal information. The concept of distributing data among
related tables is not new, but the way the concept is implemented in Access 2003 makes information
management a snap. Access 2003 is extremely
...
Signal Processing for Remote Sensing
Signal Processing for Remote Sensing
Signal processing has been playing an increasingly important role in remote sensing, though most remote sensing literatures are concerned with remote sensing images. Many data received by remote sensors such as microwave and geophysical sensors, are signals or waveforms, which can be processed by analog and digital signal...
Introduction to Clustering Large and High-Dimensional Data
Introduction to Clustering Large and High-Dimensional Data
"...this book may serve as a useful reference for scientists and engineers who need to understand the concepts of clustering in general and/or to focus on text mining applications. It is also appropriate for students who are attending a course in pattern recognition, data mining, or classification and are interested in learning more about...
Remote Sensing and GIS Integration: Theories, Methods, and Applications: Theory, Methods, and Applications
Remote Sensing and GIS Integration: Theories, Methods, and Applications: Theory, Methods, and Applications

Maximize a geographical information tool by incorporating it with up-to-date remotely sensed data

GIS is predominantly a data-handling technology, while remote sensing is a data retrieval and analysis technology. This book addresses the need to combine remotely sensed data with cartographic,...

Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
In the 1990s, a new type of learning algorithm was developed, based on results from statistical learning theory: the Support Vector Machine (SVM). This gave rise to a new class of theoretically elegant learning machines that use a central concept of SVMs—-kernels--for a number of learning tasks. Kernel machines provide a modular framework...
Bioinformatics Programming Using Python: Practical Programming for Biological Data (Animal Guide)
Bioinformatics Programming Using Python: Practical Programming for Biological Data (Animal Guide)

Powerful, flexible, and easy to use, Python is an ideal language for building software tools and applications for life science research and development. This unique book shows you how to program with Python, using code examples taken directly from bioinformatics. In a short time, you'll be using sophisticated techniques and...

Multimedia Data Mining and Knowledge Discovery
Multimedia Data Mining and Knowledge Discovery
Multimedia information is ubiquitous and essential in many applications, and repositories of multimedia are numerous and extremely large. Consequently, researchers and professionals need new techniques and tools for extracting the hidden, useful knowledge embedded within multimedia collections, thereby helping them discover relationships between...
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