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Python Deep Learning Projects: 9 projects demystifying neural network and deep learning models for building intelligent systems
Python Deep Learning Projects: 9 projects demystifying neural network and deep learning models for building intelligent systems

Insightful projects to master deep learning and neural network architectures using Python and Keras

Key Features

  • Explore deep learning across computer vision, natural language processing (NLP), and image processing
  • Discover best practices for the training of deep neural...
Python Deep Learning: Exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow, 2nd Edition
Python Deep Learning: Exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow, 2nd Edition

Learn advanced state-of-the-art deep learning techniques and their applications using popular Python libraries

Key Features

  • Build a strong foundation in neural networks and deep learning with Python libraries
  • Explore advanced deep learning techniques and their applications...
Artificial Intelligence By Example: Develop machine intelligence from scratch using real artificial intelligence use cases
Artificial Intelligence By Example: Develop machine intelligence from scratch using real artificial intelligence use cases

Be an adaptive thinker that leads the way to Artificial Intelligence

Key Features

  • AI-based examples to guide you in designing and implementing machine intelligence
  • Develop your own method for future AI solutions
  • Acquire advanced AI, machine learning, and...
Programming Persistent Memory: A Comprehensive Guide for Developers
Programming Persistent Memory: A Comprehensive Guide for Developers

Beginning and experienced programmers will use this comprehensive guide to persistent memory programming. You will understand how persistent memory brings together several new software/hardware requirements, and offers great promise for better performance and faster application startup times?a huge leap forward in byte-addressable...

Memory as a Programming Concept in C and C++
Memory as a Programming Concept in C and C++

The overwhelming majority of program bugs and computer crashes stem from problems of memory access, allocation, or deallocation. Such memory-related problems are also notoriously difficult to debug. Yet the role that memory plays in C and C++ programming is a subject often overlooked in courses and books because it requires specialized knowledge...

Designing Relational Database Systems
Designing Relational Database Systems

Relational databases are tricky beasts. Other kinds of commercial software are infinitely easier to understand. Word processors are really just high-tech typewriters, and it's pretty clear that the backspace key beats that little jar of white stuff cold. Spreadsheets present a familiar enough paradigm, even to non-accountants, and email is...

Practical Convolutional Neural Networks: Implement advanced deep learning models using Python
Practical Convolutional Neural Networks: Implement advanced deep learning models using Python

One stop guide to implementing award-winning, and cutting-edge CNN architectures

Key Features

  • Fast-paced guide with use cases and real-world examples to get well versed with CNN techniques
  • Implement CNN models on image classification, transfer learning, Object Detection,...
IoT, AI, and Blockchain for .NET: Building a Next-Generation Application from the Ground Up
IoT, AI, and Blockchain for .NET: Building a Next-Generation Application from the Ground Up
Create applications using Industry 4.0. Discover how artificial intelligence (AI) and machine learning (ML) capabilities can be enhanced using the Internet of things (IoT) and secured using Blockchain, so your latest app can be not just smarter but also more connected and more secure than ever before. This book covers the latest...
TensorFlow Machine Learning Cookbook: Over 60 recipes to build intelligent machine learning systems with the power of Python, 2nd Edition
TensorFlow Machine Learning Cookbook: Over 60 recipes to build intelligent machine learning systems with the power of Python, 2nd Edition

Skip the theory and get the most out of Tensorflow to build production-ready machine learning models

Key Features

  • Exploit the features of Tensorflow to build and deploy machine learning models
  • Train neural networks to tackle real-world problems in Computer Vision and...
Applied Intelligent Control of Induction Motor Drives
Applied Intelligent Control of Induction Motor Drives

Induction motors are the most important workhorses in industry. They are mostly used as constant-speed drives when fed from a voltage source of fixed frequency. Advent of advanced power electronic converters and powerful digital signal processors, however, has made possible the development of high performance, adjustable speed AC motor...

Machine Learning with the Raspberry Pi: Experiments with Data and Computer Vision (Technology in Action)
Machine Learning with the Raspberry Pi: Experiments with Data and Computer Vision (Technology in Action)

Using the Pi Camera and a Raspberry Pi board, expand and replicate interesting machine learning (ML) experiments.  This book provides a solid overview of ML and a myriad of underlying topics to further explore. Non-technical discussions temper complex technical explanations to make the hottest and most complex topic in the...

The Image Processing Handbook, Third Edition
The Image Processing Handbook, Third Edition
Image Processing Handbook covers methods for two different purposes:

improving the visual appearance of images to a human viewer

preparing images for measurement of the features and structures present

The handbook presents an extensive collection of image processing tools, enabling the user of computer-based system to...

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