Neural Networks with R

✍ Giuseppe Ciaburro, Balaji Venkateswaran 📂 Library 📅 2017 🏛 Packt Publishing 🌐 English

Neural networks are one of the most fascinating machine learning models for solving complex computational problems efficiently. Neural networks are used to solve wide range of problems in different areas of AI and machine learning. This book explains the niche aspects of neural networking and provi

📁 Neural Networks with R

✍ Balaji Venkateswaran; Giuseppe Ciaburro 📂 Library 📅 2017 🏛 Packt Publishing 🌐 English

Uncover the power of artificial neural networks by implementing them through R code. About This Book Develop a strong background in neural networks with R, to implement them in your applications Build smart systems using the power of deep learning Real-world case studies to illustrate the powe

Neural Networks with R (Codes)

📁 Neural Networks with R (Codes)

✍ Balaji Venkateswaran; Giuseppe Ciaburro 📂 Library 📅 2017 🏛 Packt Publishing 🌐 English

Uncover the power of artificial neural networks by implementing them through R code. About This Book Develop a strong background in neural networks with R, to implement them in your applications Build smart systems using the power of deep learning Real-world case studies to illustrate the powe

Neural Networks for Time Series Forecast

📁 Neural Networks for Time Series Forecasting with R

✍ N.D. Lewis 📂 Library 📅 2017 🏛 N.D. Lewis 🌐 English

NEURAL NETWORKS with MATLAB

📁 NEURAL NETWORKS with MATLAB

✍ Marvin L. 📂 Library 📅 2016 🏛 CreateSpace Independent Publishing Platform 🌐 English

Neural Network Toolbox provides algorithms, functions, and apps to create, train, visualize, and simulate neural networks. You can perform classification, regression, clustering, dimensionality reduction, time-series forecasting, and dynamic system modeling and control. The toolbox includes convolut

Artificial Neural Networks with Java: To

📁 Artificial Neural Networks with Java: Tools for Building Neural Network Applications

✍ Igor Livshin 📂 Library 📅 2021 🏛 Apress 🌐 English

<div>Develop neural network applications using the Java environment. After learning the rules involved in neural network processing, this second edition shows you how to manually process your first neural network example. The book covers the internals of front and back propagation and helps you unde

Neural Networks with R

✦ Synopsis