Convolutional Neural Networks in Visual Computing Convolutional Neural Networks in Visual Computing
Data-Enabled Engineering

Convolutional Neural Networks in Visual Computing

A Concise Guide

    • $149.99
    • $149.99

Publisher Description

This book covers the fundamentals in designing and deploying techniques using deep architectures. It is intended to serve as a beginner's guide to engineers or students who want to have a quick start on learning and/or building deep learning systems. This book provides a good theoretical and practical understanding and a complete toolkit of basic information and knowledge required to understand and build convolutional neural networks (CNN) from scratch. The book focuses explicitly on convolutional neural networks, filtering out other material that co-occur in many deep learning books on CNN topics.

GENRE
Computing & Internet
RELEASED
2017
23 October
LANGUAGE
EN
English
LENGTH
186
Pages
PUBLISHER
CRC Press
SELLER
Taylor & Francis Group
SIZE
6.2
MB
Deep Learning Deep Learning
2022
Explainable Deep Learning AI Explainable Deep Learning AI
2023
Interpretable AI Interpretable AI
2022
Deep Learning Patterns and Practices Deep Learning Patterns and Practices
2021
Enhancing Deep Learning Performance Using Displaced Rectifier Linear Unit Enhancing Deep Learning Performance Using Displaced Rectifier Linear Unit
2022
Machine Learning Algorithms and Applications Machine Learning Algorithms and Applications
2021
Software-Defined Networking and Security Software-Defined Networking and Security
2018
Attribute-Based Encryption and Access Control Attribute-Based Encryption and Access Control
2020