BOOKS - NETWORK TECHNOLOGIES - Deep Neural Network Applications
Deep Neural Network Applications - Hasmik Osipyan, Bosede Iyiade Edwards, Adrian David Cheok 2022 PDF CRC Press BOOKS NETWORK TECHNOLOGIES
ECO~12 kg CO²

1 TON

Views
67865

Telegram
 
Deep Neural Network Applications
Author: Hasmik Osipyan, Bosede Iyiade Edwards, Adrian David Cheok
Year: 2022
Pages: 159
Format: PDF
File size: 10 MB
Language: ENG



Pay with Telegram STARS
''

You may also be interested in:

Modeling Neural Circuits Made Simple with Python
New Horizons for Fuzzy Logic, Neural Networks and Metaheuristics
Analysis and Visualization of Discrete Data Using Neural Networks
Analysis and Visualization of Discrete Data Using Neural Networks
New Horizons for Fuzzy Logic, Neural Networks and Metaheuristics
The Sensory Hand: Neural Mechanisms of Somatic Sensation
Modeling Neural Circuits Made Simple with Python
The Self-Assembling Brain: How Neural Networks Grow Smarter
The Self-Assembling Brain How Neural Networks Grow Smarter
Dynamics of Neural Networks: A Mathematical and Clinical Approach
Neural Networks with javascript Succinctly
Fundamentals of Machine Learning An Introduction to Neural Networks
Neural Networks Using MATLAB. Cluster Analysis and Classification
Neural Data Science A Primer with MATLAB® and Python™
Artificial Intelligence for Business What You Need to Know about Machine Learning and Neural Networks
Photonic Reservoir Computing Optical Recurrent Neural Networks
Artificial Neural Networks Alpha Unpredictability and Chaotic Dynamics
Brain Arousal and Information Theory: Neural and Genetic Mechanisms
Artificial Intelligence in the Age of Neural Networks and Brain Computing
Programming Neural Networks with Encog3 in Java, 2nd Edition
Machine Learning with Neural Networks An Introduction for Scientists and Engineers
Basics: Neural Control Node: Just one touch and you|re a captive
Kinematic Control of Redundant Robot Arms Using Neural Networks
Deep Machine Learning Complete Tips and Tricks to Deep Machine Learning
Deep Learning with Python The Ultimate Beginners Guide for Deep Learning with Python
Gas Turbines Modeling, Simulation, and Control Using Artificial Neural Networks
Hacker|s Guide to Neural Networks in javascript
Gradient Expectations Structure, Origins, and Synthesis of Predictive Neural Networks
Gradient Expectations Structure, Origins, and Synthesis of Predictive Neural Networks
Artificial Neural Networks in Food Processing: Modeling and Predictive Control
Reactive Distillation: Advanced Control using Neural Networks (De Gruyter Textbook)
C# Microservices Web Applications: Building Scalable, Service-Oriented, Modern, Enterprise Applications (Web Development Series)
Meta-heuristic Optimization Techniques: Applications in Engineering (De Gruyter Series on the Applications of Mathematics in Engineering and Information Sciences, 10)
Modern Web Applications with Next.JS Learn Advanced Techniques to Build and Deploy Modern, Scalable and Production Ready React Applications with Next.JS
Modern Web Applications with Next.JS Learn Advanced Techniques to Build and Deploy Modern, Scalable and Production Ready React Applications with Next.JS
Web Applications with ASP.NET Core Blazor Create Powerful, Responsive, and Engaging Web Applications
Layered Design for Ruby on Rails Applications: Discover practical design patterns for maintainable web applications
Web Applications with ASP.NET Core Blazor Create Powerful, Responsive, and Engaging Web Applications
Isogeometric Topology Optimization: Methods, Applications and Implementations (Engineering Applications of Computational Methods Book 7)
Building Modern SaaS Applications with C# and .NET: Build, deploy, and maintain professional SaaS applications