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Books > Computing & IT > Applications of computing > Artificial intelligence > Neural networks

Spiking Neuron Models - Single Neurons, Populations, Plasticity (Paperback): Wulfram Gerstner, Werner M. Kistler Spiking Neuron Models - Single Neurons, Populations, Plasticity (Paperback)
Wulfram Gerstner, Werner M. Kistler
R1,949 Discovery Miles 19 490 Ships in 12 - 17 working days

This introduction to spiking neurons can be used in advanced-level courses in computational neuroscience, theoretical biology, neural modeling, biophysics, or neural networks. It focuses on phenomenological approaches rather than detailed models in order to provide the reader with a conceptual framework. The authors formulate the theoretical concepts clearly without many mathematical details. While the book contains standard material for courses in computational neuroscience, neural modeling, or neural networks, it also provides an entry to current research. No prior knowledge beyond undergraduate mathematics is required.

Cellular Neural Networks and Visual Computing - Foundations and Applications (Hardcover): Leon O. Chua, Tamas Roska Cellular Neural Networks and Visual Computing - Foundations and Applications (Hardcover)
Leon O. Chua, Tamas Roska
R3,708 Discovery Miles 37 080 Ships in 12 - 17 working days

Cellular Nonlinear/Neural Network (CNN) technology is both a revolutionary concept and an experimentally proven new computing paradigm. Analogic cellular computers based on CNNs are set to change the way analog signals are processed. This unique undergraduate level textbook includes many examples and exercises, including CNN simulator and development software accessible via the Internet. It is an ideal introduction to CNNs and analogic cellular computing for students, researchers and engineers from a wide range of disciplines. Leon Chua, co-inventor of the CNN, and Tamàs Roska are both highly respected pioneers in the field.

AI Self-Driving Cars Accordance - Practical Advances In Artificial Intelligence And Machine Learning (Paperback): Lance Eliot AI Self-Driving Cars Accordance - Practical Advances In Artificial Intelligence And Machine Learning (Paperback)
Lance Eliot
R712 Discovery Miles 7 120 Ships in 10 - 15 working days
AI Self-Driving Cars Consonance - Practical Advances in Artificial Intelligence and Machine Learning (Paperback): Lance Eliot AI Self-Driving Cars Consonance - Practical Advances in Artificial Intelligence and Machine Learning (Paperback)
Lance Eliot
R734 Discovery Miles 7 340 Ships in 10 - 15 working days
Practical Machine Learning with Spark - Uncover Apache Spark's Scalable Performance with High-Quality Algorithms Across... Practical Machine Learning with Spark - Uncover Apache Spark's Scalable Performance with High-Quality Algorithms Across NLP, Computer Vision and ML (English Edition) (Paperback)
Gourav Gupta, Manish Gupta, Inder Singh Gupta
R1,128 Discovery Miles 11 280 Ships in 10 - 15 working days
Applied Neural Networks for Signal Processing (Paperback, New ed): Fa-Long Luo, Rolf Unbehauen Applied Neural Networks for Signal Processing (Paperback, New ed)
Fa-Long Luo, Rolf Unbehauen
R1,854 Discovery Miles 18 540 Ships in 12 - 17 working days

The use of neural networks in signal processing is becoming increasingly widespread, with applications in many areas. Applied Neural Networks for Signal Processing is the first book to provide a comprehensive introduction to this broad field. It begins by covering the basic principles and models of neural networks in signal processing. The authors then discuss a number of powerful algorithms and architectures for a range of important problems, and describe practical implementation procedures. A key feature of the book is that many carefully designed simulation examples are included to help guide the reader in the development of systems for new applications. The book will be an invaluable reference for scientists and engineers working in communications, control or any other field related to signal processing. It can also be used as a textbook for graduate courses in electrical engineering and computer science.

Immersion Into Noise (second edition) (Paperback): Joseph Nechvatal Immersion Into Noise (second edition) (Paperback)
Joseph Nechvatal
R582 Discovery Miles 5 820 Ships in 10 - 15 working days
AI Self-Driving Cars Vicissitude - Practical Advances in Artificial Intelligence and Machine Learning (Paperback): Lance Eliot AI Self-Driving Cars Vicissitude - Practical Advances in Artificial Intelligence and Machine Learning (Paperback)
Lance Eliot
R729 Discovery Miles 7 290 Ships in 10 - 15 working days
GANs Interview Questions - with detailed answers (Paperback): Saroj Mali, Geoffrey Ziskovin, Aditya Chatterjee GANs Interview Questions - with detailed answers (Paperback)
Saroj Mali, Geoffrey Ziskovin, Aditya Chatterjee
R298 Discovery Miles 2 980 Ships in 10 - 15 working days
Elements of Causal Inference - Foundations and Learning Algorithms (Hardcover): Jonas Peters, Dominik Janzing, Bernhard... Elements of Causal Inference - Foundations and Learning Algorithms (Hardcover)
Jonas Peters, Dominik Janzing, Bernhard Schoelkopf
R1,267 R1,170 Discovery Miles 11 700 Save R97 (8%) Ships in 9 - 15 working days

A concise and self-contained introduction to causal inference, increasingly important in data science and machine learning. The mathematization of causality is a relatively recent development, and has become increasingly important in data science and machine learning. This book offers a self-contained and concise introduction to causal models and how to learn them from data. After explaining the need for causal models and discussing some of the principles underlying causal inference, the book teaches readers how to use causal models: how to compute intervention distributions, how to infer causal models from observational and interventional data, and how causal ideas could be exploited for classical machine learning problems. All of these topics are discussed first in terms of two variables and then in the more general multivariate case. The bivariate case turns out to be a particularly hard problem for causal learning because there are no conditional independences as used by classical methods for solving multivariate cases. The authors consider analyzing statistical asymmetries between cause and effect to be highly instructive, and they report on their decade of intensive research into this problem. The book is accessible to readers with a background in machine learning or statistics, and can be used in graduate courses or as a reference for researchers. The text includes code snippets that can be copied and pasted, exercises, and an appendix with a summary of the most important technical concepts.

Machine Learning - Getting Started - Launch yourself into machine learning! (Paperback): Ananda Soundhararajan Machine Learning - Getting Started - Launch yourself into machine learning! (Paperback)
Ananda Soundhararajan
R337 Discovery Miles 3 370 Ships in 10 - 15 working days
Hybrid Data Science (HDS) Modeling Approaches for Industrial and Scientific Applications (Paperback): Keshava Prasad... Hybrid Data Science (HDS) Modeling Approaches for Industrial and Scientific Applications (Paperback)
Keshava Prasad Rangarajan, Egidio Marotta, Srinath Madasu
R4,571 Discovery Miles 45 710 Ships in 10 - 15 working days
Python - This Book Includes: The Guide for Beginners, Machine Learning (Paperback): Josh Hugh Learning Python - This Book Includes: The Guide for Beginners, Machine Learning (Paperback)
Josh Hugh Learning
R465 Discovery Miles 4 650 Ships in 10 - 15 working days
3D Deep Learning with Python - Design and develop your computer vision model with 3D data using PyTorch3D and more (Paperback):... 3D Deep Learning with Python - Design and develop your computer vision model with 3D data using PyTorch3D and more (Paperback)
Xudong Ma, Vishakh Hegde, Lilit Yolyan
R1,042 Discovery Miles 10 420 Ships in 10 - 15 working days

Visualize and build deep learning models with 3D data using PyTorch3D and other Python frameworks to conquer real-world application challenges with ease Key Features Understand 3D data processing with rendering, PyTorch optimization, and heterogeneous batching Implement differentiable rendering concepts with practical examples Discover how you can ease your work with the latest 3D deep learning techniques using PyTorch3D Book DescriptionWith this hands-on guide to 3D deep learning, developers working with 3D computer vision will be able to put their knowledge to work and get up and running in no time. Complete with step-by-step explanations of essential concepts and practical examples, this book lets you explore and gain a thorough understanding of state-of-the-art 3D deep learning. You'll see how to use PyTorch3D for basic 3D mesh and point cloud data processing, including loading and saving ply and obj files, projecting 3D points into camera coordination using perspective camera models or orthographic camera models, rendering point clouds and meshes to images, and much more. As you implement some of the latest 3D deep learning algorithms, such as differential rendering, Nerf, synsin, and mesh RCNN, you'll realize how coding for these deep learning models becomes easier using the PyTorch3D library. By the end of this deep learning book, you'll be ready to implement your own 3D deep learning models confidently. What you will learn Develop 3D computer vision models for interacting with the environment Get to grips with 3D data handling with point clouds, meshes, ply, and obj file format Work with 3D geometry, camera models, and coordination and convert between them Understand concepts of rendering, shading, and more with ease Implement differential rendering for many 3D deep learning models Advanced state-of-the-art 3D deep learning models like Nerf, synsin, mesh RCNN Who this book is forThis book is for beginner to intermediate-level machine learning practitioners, data scientists, ML engineers, and DL engineers who are looking to become well-versed with computer vision techniques using 3D data.

Network Programming in Python - The Basic: A Detailed Guide to Python 3 Network Programming and Management (English Edition)... Network Programming in Python - The Basic: A Detailed Guide to Python 3 Network Programming and Management (English Edition) (Paperback)
John Galbraith
R904 Discovery Miles 9 040 Ships in 10 - 15 working days
Pytorch Deep Learning by Example, Vol. 2 - Applications - Grasp deep Learning from scratch like AlphaGo Zero within 40 days... Pytorch Deep Learning by Example, Vol. 2 - Applications - Grasp deep Learning from scratch like AlphaGo Zero within 40 days (3rd Edition) (Paperback)
Benjamin Young
R690 Discovery Miles 6 900 Ships in 10 - 15 working days
Predictive Analytics - The Secret to Predicting Future Events Using Big Data and Data Science Techniques Such as Data Mining,... Predictive Analytics - The Secret to Predicting Future Events Using Big Data and Data Science Techniques Such as Data Mining, Predictive Modelling, Statistics, Data Analysis, and Machine Learning (Paperback)
Richard Hurley
R345 Discovery Miles 3 450 Ships in 10 - 15 working days
AI Self-Driving Cars Headway - Practical Advances In Artificial Intelligence And Machine Learning (Paperback): Lance Eliot AI Self-Driving Cars Headway - Practical Advances In Artificial Intelligence And Machine Learning (Paperback)
Lance Eliot
R726 Discovery Miles 7 260 Ships in 10 - 15 working days
Aws - The Ultimate Cheat Sheet Practice Exam Questions (Prepare for and Pass the Current Aws Machine Learning Specialty Exam)... Aws - The Ultimate Cheat Sheet Practice Exam Questions (Prepare for and Pass the Current Aws Machine Learning Specialty Exam) (Paperback)
Victor Bradley
R487 R413 Discovery Miles 4 130 Save R74 (15%) Ships in 10 - 15 working days
Ingenious Strides for AI Driverless Cars - Practical Advances in Artificial Intelligence and Machine Learning (Paperback):... Ingenious Strides for AI Driverless Cars - Practical Advances in Artificial Intelligence and Machine Learning (Paperback)
Lance Eliot
R721 Discovery Miles 7 210 Ships in 10 - 15 working days
AI Self-Driving Cars Trendsetting - Practical Advances In Artificial Intelligence And Machine Learning (Paperback): Lance Eliot AI Self-Driving Cars Trendsetting - Practical Advances In Artificial Intelligence And Machine Learning (Paperback)
Lance Eliot
R724 Discovery Miles 7 240 Ships in 10 - 15 working days
Beginning with Deep Learning Using TensorFlow - A Beginners Guide to TensorFlow and Keras for Practicing Deep Learning... Beginning with Deep Learning Using TensorFlow - A Beginners Guide to TensorFlow and Keras for Practicing Deep Learning Principles and Applications (Paperback)
Mohan Kumar Silaparasetty
R1,084 Discovery Miles 10 840 Ships in 10 - 15 working days
Deep Learning with Python - The ultimate beginners guide to Learn Deep Learning with Python Step by Step (Paperback): Ethan... Deep Learning with Python - The ultimate beginners guide to Learn Deep Learning with Python Step by Step (Paperback)
Ethan Williams
R513 Discovery Miles 5 130 Ships in 10 - 15 working days
AI Self-Driving Cars Momentum - Practical Advances In Artificial Intelligence (Paperback): Lance Eliot AI Self-Driving Cars Momentum - Practical Advances In Artificial Intelligence (Paperback)
Lance Eliot
R728 Discovery Miles 7 280 Ships in 10 - 15 working days
Pytorch Deep Learning by Example Vol. 1 - Fundamentals - Grasp deep Learning from scratch like AlphaGo Zero within 40 days (3rd... Pytorch Deep Learning by Example Vol. 1 - Fundamentals - Grasp deep Learning from scratch like AlphaGo Zero within 40 days (3rd Edition) (Paperback)
Benjamin Young
R709 Discovery Miles 7 090 Ships in 10 - 15 working days
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