Deep Learning (Neural Networks) with RLive Class
The Deep Learning Neural Networks with R training from EDUCBA is a statistical programming language. It is specifically designed for computation and graphical visualization. Because of its processing capacity, the R programming language is the greatest choice for data analysts, data miners, and statisticians. It does data analysis and statistical software development.
It includes 4+ daily live classes with over 10 hours of content taught and lifetime access to session recordings.
Includes:
- 37350 ratings
Key Features
Live Online Classes PREFERRED
Overview
Our Deep Learning (Neural Network) with R Live Online Classes contain over 4 hours of comprehensive, interactive, and instructor-led training. This training focuses on a syntactical approach to R's syntax, and instructions applicable to neural network modeling approaches on datasets from relevant areas.
Live Online Classes Curriculum
- 1 – Single Layer Neural Networks (Single Layer Perceptron) Project - Agriculture (Part – 1)
- Creating R project and dataframes
- Checking summary and data structure
- Understanding SLP theory
- SLP syntax and commands
- Installing libraries and packages
- 2 – Single-Layer Neural Networks (Single Layer Perceptron) Project - Agriculture (Part – 2)
- Generating SLP (Single layered Neural network) output
- SLP scatter plot
- 3 – Multi-Layer Neural Networks (Multi-Layer Perceptron) Project – Deaths in wars (Part –1)
- Creating R project and dataframes
- Checking summary and data structure
- Understanding MLP theory
- MLP syntax and commands
- 4 – Multi-Layer Neural Networks (Multi-Layer Perceptron) Project – Deaths in wars (Part –2)
- Generating MLP (Multi-layered Neural network) output
- MLP scatter plot
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