Home | Amazing | Today | Tags | Publishers | Years | Search 
Let’s Build a Multiplayer Phaser Game: With TypeScript, Socket.IO, and Phaser
Let’s Build a Multiplayer Phaser Game: With TypeScript, Socket.IO, and Phaser

Create a fully working multiplayer game from scratch using TypeScript, Socket.IO, and the community edition of Phaser.js. You will achieve amazing feats in the browser without having to install any software. This book teaches you how to use the Phaser game engine APIs to tap into physics, and how to utilize HUD information and...

Ethereum for Architects and Developers
Ethereum for Architects and Developers
Explore the Ethereum ecosystem step by step with extensive theory, labs, and live use cases. This book takes you through BlockChain concepts; decentralized applications; Ethereum’s architecture; Solidity smart contract programming with examples; and testing, debugging, and deploying smart contracts on...
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 PIC Microcontrollers with XC8
Programming PIC Microcontrollers with XC8
Learn how to use microcontrollers without all the frills and math. This book uses a practical approach to show you how to develop embedded systems with 8 bit PIC microcontrollers using the XC8 compiler. It's your complete guide to understanding modern PIC microcontrollers.

Are you tired of...
Applied Deep Learning: A Case-Based Approach to Understanding Deep Neural Networks
Applied Deep Learning: A Case-Based Approach to Understanding Deep Neural Networks

Work with advanced topics in deep learning, such as optimization algorithms, hyper-parameter tuning, dropout, and error analysis as well as strategies to address typical problems encountered when training deep neural networks. You’ll begin by studying the activation functions mostly with a single neuron (ReLu, sigmoid, and...

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...
Machine Learning Algorithms: Popular algorithms for data science and machine learning, 2nd Edition
Machine Learning Algorithms: Popular algorithms for data science and machine learning, 2nd Edition

An easy-to-follow, step-by-step guide for getting to grips with the real-world application of machine learning algorithms

Key Features

  • Explore statistics and complex mathematics for data-intensive applications
  • Discover new developments in EM algorithm, PCA, and bayesian...
Learn WebAssembly: Build web applications with native performance using Wasm and C/C++
Learn WebAssembly: Build web applications with native performance using Wasm and C/C++

The first definitive guide on WebAssembly to help you break through the barriers of web development and build an entirely new class of performant applications

Key Features

  • Generate WebAssembly modules from C and C++ using Emscripten and interact with these modules in the browser
  • ...
Neural Network Programming with TensorFlow: Unleash the power of TensorFlow to train efficient neural networks
Neural Network Programming with TensorFlow: Unleash the power of TensorFlow to train efficient neural networks

Neural Networks and their implementation decoded with TensorFlow

About This Book

  • Develop a strong background in neural network programming from scratch, using the popular Tensorflow library.
  • Use Tensorflow to implement different kinds of neural networks – from simple...
Applied Data Visualization with R and ggplot2: Create useful, elaborate, and visually appealing plots
Applied Data Visualization with R and ggplot2: Create useful, elaborate, and visually appealing plots

Develop informative and aesthetic visualizations that enable effective data analysis in less time

Key Features

  • Discover structure of ggplot2, grammar of graphics, and geometric objects
  • Study how to design and implement visualization from scratch
  • Explore...
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...
Spring Boot 2 Recipes: A Problem-Solution Approach
Spring Boot 2 Recipes: A Problem-Solution Approach
Solve all your Spring Boot 2 problems using complete and real-world code examples. When you start a new project, you’ll be able to copy the code and configuration files from this book, and then modify them for your needs. This can save you a great deal of work over creating a project from scratch.

Using a...
Result Page: 48 47 46 45 44 43 42 41 40 39 38 37 36 35 34 33 32 31 30 
©2024 LearnIT (support@pdfchm.net) - Privacy Policy