Learning Processing

Learning Processing, Second Edition, is a friendly start-up guide to Processing, a free, open-source alternative to expensive software and daunting programming languages. Requiring no previous experience, this book is for the true programming beginner. It teaches the basic building blocks of programming needed to create cutting-edge graphics applications including interactive art, live video processing, and data visualization. Step-by-step examples, thorough explanations, hands-on exercises, and sample code, supports your learning curve. A unique lab-style manual, the book gives graphic and web designers, artists, and illustrators of all stripes a jumpstart on working with the Processing programming environment by providing instruction on the basic principles of the language, followed by careful explanations of select advanced techniques. The book has been developed with a supportive learning experience at its core. From algorithms and data mining to rendering and debugging, it teaches object-oriented programming from the ground up within the fascinating context of interactive visual media. This book is ideal for graphic designers and visual artists without programming background who want to learn programming. It will also appeal to students taking college and graduate courses in interactive media or visual computing, and for self-study. A friendly start-up guide to Processing, a free, open-source alternative to expensive software and daunting programming languages No previous experience required—this book is for the true programming beginner! Step-by-step examples, thorough explanations, hands-on exercises, and sample code supports your learning curve

Produk Detail:

  • Author : Daniel Shiffman
  • Publisher : Newnes
  • Pages : 564 pages
  • ISBN : 0123947928
  • Rating : 5/5 from 1 reviews
CLICK HERE TO GET THIS BOOKLearning Processing

Learning Processing

Learning Processing
  • Author : Daniel Shiffman
  • Publisher : Newnes
  • Release : 09 September 2015
GET THIS BOOKLearning Processing

Learning Processing, Second Edition, is a friendly start-up guide to Processing, a free, open-source alternative to expensive software and daunting programming languages. Requiring no previous experience, this book is for the true programming beginner. It teaches the basic building blocks of programming needed to create cutting-edge graphics applications including interactive art, live video processing, and data visualization. Step-by-step examples, thorough explanations, hands-on exercises, and sample code, supports your learning curve. A unique lab-style manual, the book gives graphic and web

Learning Processing

Learning Processing
  • Author : Daniel Shiffman
  • Publisher : Morgan Kaufmann
  • Release : 24 May 2022
GET THIS BOOKLearning Processing

This book teaches you the basic building blocks of programming needed to create cutting-edge graphics applications including interactive art, live video processing, and data visualization. A unique lab-style manual, the book gives graphic and web designers, artists, and illustrators of all stripes a jumpstart on working with the Processing programming environment by providing instruction on the basic principles of the language, followed by careful explanations of select advanced techniques. Within these pages, ITP (Tisch School of the Arts, New York

Learning Approaches in Signal Processing

Learning Approaches in Signal Processing
  • Author : Francis Ring
  • Publisher : CRC Press
  • Release : 07 December 2018
GET THIS BOOKLearning Approaches in Signal Processing

Coupled with machine learning, the use of signal processing techniques for big data analysis, Internet of things, smart cities, security, and bio-informatics applications has witnessed explosive growth. This has been made possible via fast algorithms on data, speech, image, and video processing with advanced GPU technology. This book presents an up-to-date tutorial and overview on learning technologies such as random forests, sparsity, and low-rank matrix estimation and cutting-edge visual/signal processing techniques, including face recognition, Kalman filtering, and multirate DSP.

The Nature of Code

The Nature of Code
  • Author : Daniel Shiffman
  • Publisher : Nature of Code
  • Release : 24 May 2022
GET THIS BOOKThe Nature of Code

How can we capture the unpredictable evolutionary and emergent properties of nature in software? How can understanding the mathematical principles behind our physical world help us to create digital worlds? This book focuses on a range of programming strategies and techniques behind computer simulations of natural systems, from elementary concepts in mathematics and physics to more advanced algorithms that enable sophisticated visual results. Readers will progress from building a basic physics engine to creating intelligent moving objects and complex systems,

Deep Learning in Natural Language Processing

Deep Learning in Natural Language Processing
  • Author : Li Deng,Yang Liu
  • Publisher : Springer
  • Release : 23 May 2018
GET THIS BOOKDeep Learning in Natural Language Processing

In recent years, deep learning has fundamentally changed the landscapes of a number of areas in artificial intelligence, including speech, vision, natural language, robotics, and game playing. In particular, the striking success of deep learning in a wide variety of natural language processing (NLP) applications has served as a benchmark for the advances in one of the most important tasks in artificial intelligence. This book reviews the state of the art of deep learning research and its successful applications to

Deep Learning for Natural Language Processing

Deep Learning for Natural Language Processing
  • Author : Palash Goyal,Sumit Pandey,Karan Jain
  • Publisher : Apress
  • Release : 26 June 2018
GET THIS BOOKDeep Learning for Natural Language Processing

Discover the concepts of deep learning used for natural language processing (NLP), with full-fledged examples of neural network models such as recurrent neural networks, long short-term memory networks, and sequence-2-sequence models. You’ll start by covering the mathematical prerequisites and the fundamentals of deep learning and NLP with practical examples. The first three chapters of the book cover the basics of NLP, starting with word-vector representation before moving onto advanced algorithms. The final chapters focus entirely on implementation, and

The Rails Way

The Rails Way
  • Author : Obie Fernandez
  • Publisher : Pearson Education
  • Release : 16 November 2007
GET THIS BOOKThe Rails Way

The expert guide to building Ruby on Rails applications Ruby on Rails strips complexity from the development process, enabling professional developers to focus on what matters most: delivering business value. Now, for the first time, there’s a comprehensive, authoritative guide to building production-quality software with Rails. Pioneering Rails developer Obie Fernandez and a team of experts illuminate the entire Rails API, along with the Ruby idioms, design approaches, libraries, and plug-ins that make Rails so valuable. Drawing on their

Machine Learning in Signal Processing

Machine Learning in Signal Processing
  • Author : Sudeep Tanwar,Anand Nayyar,Rudra Rameshwar
  • Publisher : CRC Press
  • Release : 10 December 2021
GET THIS BOOKMachine Learning in Signal Processing

Machine Learning in Signal Processing: Applications, Challenges, and the Road Ahead offers a comprehensive approach toward research orientation for familiarizing signal processing (SP) concepts to machine learning (ML). ML, as the driving force of the wave of artificial intelligence (AI), provides powerful solutions to many real-world technical and scientific challenges. This book will present the most recent and exciting advances in signal processing for ML. The focus is on understanding the contributions of signal processing and ML, and its aim

Biosignal Processing and Classification Using Computational Learning and Intelligence

Biosignal Processing and Classification Using Computational Learning and Intelligence
  • Author : Alejandro Antonio Torres Garcia,Carlos Alberto Reyes Garcia,Luis Villasenor-Pineda,Omar Mendoza-Montoya
  • Publisher : Academic Press
  • Release : 18 September 2021
GET THIS BOOKBiosignal Processing and Classification Using Computational Learning and Intelligence

Biosignal Processing and Classification Using Computational Learning and Intelligence: Principles, Algorithms and Applications posits an approach for biosignal processing and classification using computational learning and intelligence, highlighting that the term biosignal refers to all kinds of signals that can be continuously measured and monitored in living beings. The book is composed of five relevant parts. Part One is an introduction to biosignals and Part Two describes the relevant techniques for biosignal processing, feature extraction and feature selection/dimensionality reduction. Part

Learning Processing

Learning Processing
  • Author : Daniel Shiffman
  • Publisher : Morgan Kaufmann
  • Release : 17 April 2009
GET THIS BOOKLearning Processing

The free, open-source Processing programming language environment was created at MIT for people who want to develop images, animation, and sound. Based on the ubiquitous Java, it provides an alternative to daunting languages and expensive proprietary software. This book gives graphic designers, artists and illustrators of all stripes a jump start to working with processing by providing detailed information on the basic principles of programming with the language, followed by careful, step-by-step explanations of select advanced techniques. The author teaches

Prediction in Second Language Processing and Learning

Prediction in Second Language Processing and Learning
  • Author : Edith Kaan,Theres Grüter
  • Publisher : John Benjamins Publishing Company
  • Release : 15 September 2021
GET THIS BOOKPrediction in Second Language Processing and Learning

There is ample evidence that language users, including second-language (L2) users, can predict upcoming information during listening and reading. Yet it is still unclear when, how, and why language users engage in prediction, and what the relation is between prediction and learning. This volume presents a collection of current research, insights, and directions regarding the role of prediction in L2 processing and learning. The contributions in this volume specifically address how different (L1-based) theoretical models of prediction apply to

Representation Learning for Natural Language Processing

Representation Learning for Natural Language Processing
  • Author : Zhiyuan Liu,Yankai Lin,Maosong Sun
  • Publisher : Springer Nature
  • Release : 03 July 2020
GET THIS BOOKRepresentation Learning for Natural Language Processing

This open access book provides an overview of the recent advances in representation learning theory, algorithms and applications for natural language processing (NLP). It is divided into three parts. Part I presents the representation learning techniques for multiple language entries, including words, phrases, sentences and documents. Part II then introduces the representation techniques for those objects that are closely related to NLP, including entity-based world knowledge, sememe-based linguistic knowledge, networks, and cross-modal entries. Lastly, Part III provides open resource tools

Getting Started with Processing.py

Getting Started with Processing.py
  • Author : Allison Parrish,Ben Fry,Casey Reas
  • Publisher : Maker Media, Inc.
  • Release : 11 May 2016
GET THIS BOOKGetting Started with Processing.py

Processing opened up the world of programming to artists, designers, educators, and beginners. The Processing.py Python implementation of Processing reinterprets it for today's web. This short book gently introduces the core concepts of computer programming and working with Processing. Written by the co-founders of the Processing project, Reas and Fry, along with co-author Allison Parrish, Getting Started with Processing.py is your fast track to using Python's Processing mode.

Processing

Processing
  • Author : Ira Greenberg,Dianna Xu,Deepak Kumar
  • Publisher : Apress
  • Release : 13 May 2013
GET THIS BOOKProcessing

Processing: Creative Coding and Generative Art in Processing 2 is a fun and creative approach to learning programming. Using the easy to learn Processing programming language, you will quickly learn how to draw with code, and from there move to animating in 2D and 3D. These basics will then open up a whole world of graphics and computer entertainment. If you’ve been curious about coding, but the thought of it also makes you nervous, this book is for you; if