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Electronic Devices and Amplifier Circuits with MATLAB Computing, Second Edition
Electronic Devices and Amplifier Circuits with MATLAB Computing, Second Edition
This book is an undergraduate level textbook. It is an expanded version of the first edition. The prerequisites for this text are first year calculus and physics, and a two-semester course in circuit analysis including the fundamental theorems and the Laplace transformation. This text begins with is an introduction to the nature of small signals...
Blockchain for Enterprise: Build scalable blockchain applications with privacy, interoperability, and permissioned features
Blockchain for Enterprise: Build scalable blockchain applications with privacy, interoperability, and permissioned features

Implement blockchain principles in your choice of domain using Ethereum

Key Features

  • Build permissioned enterprise-grade blockchain applications from scratch
  • Implement Blockchain-as-a-Service to enterprises in terms of deployment and security
  • Achieve...
Hands-On RESTful API Design Patterns and Best Practices: Design, develop, and deploy highly adaptable, scalable, and secure RESTful web APIs
Hands-On RESTful API Design Patterns and Best Practices: Design, develop, and deploy highly adaptable, scalable, and secure RESTful web APIs

Build effective RESTful APIs for enterprise with design patterns and REST framework's out-of-the-box capabilities

Key Features

  • Understand advanced topics such as API gateways, API securities, and cloud
  • Implement patterns programmatically with easy-to-follow...
Deep Learning with PyTorch: A practical approach to building neural network models using PyTorch
Deep Learning with PyTorch: A practical approach to building neural network models using PyTorch

Build neural network models in text, vision and advanced analytics using PyTorch

Key Features

  • Learn PyTorch for implementing cutting-edge deep learning algorithms.
  • Train your neural networks for higher speed and flexibility and learn how to implement them in various...
Rust Programming By Example: Enter the world of Rust by building engaging, concurrent, reactive, and robust applications
Rust Programming By Example: Enter the world of Rust by building engaging, concurrent, reactive, and robust applications

Discover the world of Rust programming through real-world examples

Key Features

  • Implement various features of Rust to build blazingly fast applications
  • Learn to build GUI applications using Gtk-rs
  • Explore the multi-threading aspect of Rust to tackle...
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...
Hands-On Neural Networks with Keras: Design and create neural networks using deep learning and artificial intelligence principles
Hands-On Neural Networks with Keras: Design and create neural networks using deep learning and artificial intelligence principles

Your one-stop guide to learning and implementing artificial neural networks with Keras effectively

Key Features

  • Design and create neural network architectures on different domains using Keras
  • Integrate neural network models in your applications using this highly practical...
Hands-On Design Patterns with React Native: Proven techniques and patterns for efficient native mobile development with JavaScript
Hands-On Design Patterns with React Native: Proven techniques and patterns for efficient native mobile development with JavaScript

Learn how to write cross platform React Native code by using effective design patterns in the JavaScript world. Get to know industry standard patterns as well as situational patterns. Decouple your application with these set of “Idea patterns”.

Key Features

  • Mobile development...
Deep Learning Quick Reference: Useful hacks for training and optimizing deep neural networks with TensorFlow and Keras
Deep Learning Quick Reference: Useful hacks for training and optimizing deep neural networks with TensorFlow and Keras

Dive deeper into neural networks and get your models trained, optimized with this quick reference guide

Key Features

  • A quick reference to all important deep learning concepts and their implementations
  • Essential tips, tricks, and hacks to train a variety of deep learning...
MacBook For Dummies
MacBook For Dummies
Get the most out of your MacBook

Your new MacBook is sleek and powerful, and this down-to-earth guide makes it easier than ever to navigate, personalize, and maximize what it can help you accomplish. From taking it out of the box and turning it on for the first time to file storage and security, to downloading apps and...

Hands-On Java Deep Learning for Computer Vision: Implement machine learning and neural network methodologies to perform computer vision-related tasks
Hands-On Java Deep Learning for Computer Vision: Implement machine learning and neural network methodologies to perform computer vision-related tasks

Leverage the power of Java and deep learning to build production-grade Computer Vision applications

Key Features

  • Build real-world Computer Vision applications using the power of neural networks
  • Implement image classification, object detection, and face recognition
  • ...
Deep Learning By Example: A hands-on guide to implementing advanced machine learning algorithms and neural networks
Deep Learning By Example: A hands-on guide to implementing advanced machine learning algorithms and neural networks

Grasp the fundamental concepts of deep learning using Tensorflow in a hands-on manner

Key Features

  • Get a first-hand experience of the deep learning concepts and techniques with this easy-to-follow guide
  • Train different types of neural networks using Tensorflow for...
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