mirugwe1 / Deep-Learning-Using-R-Keras

This assignment involves the use of Keras Tensorflow based R package to build multiple models on regression and classification data.

Deep Learning Using Keras Tensorflow R Package

This repository contains the code and materials for an assignment that involves using the Keras Tensorflow R package to build multiple regression and classification models.

Overview

The goal of this assignment was to gain practical experience with the Keras Tensorflow R package, a powerful tool for building and training deep learning models. The assignment focuses on both regression and classification tasks, allowing one to explore different data types and model architectures.

Prerequisites

Before getting started, make sure you have the following:

• R and RStudio installed on your machine
• Basic understanding of R programming language
• Familiarity with the Keras and Tensorflow libraries

Getting Started

To get started with the assignment, follow the following steps:

1. Clone this repository to your local machine using the following command:

git clone [e-mail]:mirugwe1/Deep-Learning-Using-R-Keras.git

2. Install the required dependencies by running the following command in RStudio:

install.packages(c("keras", "tensorflow"))

Data

Classification Data

data <- read.csv(url("https://protect-za.mimecast.com/s/LpPuCvgxAZflKY8PtQbJ9P"), header = FALSE, skip = 1) 

Regression Data

data <- read.csv(url("https://protect-za.mimecast.com/s/vYKICAnX51iR2wOPiM4hPa"), header = TRUE)