Fashion MNIST Classification

This project implements a Convolutional Neural Network (CNN) with six layers using Keras in both Python and R to classify Fashion MNIST images.

Dataset: Fashion MNIST is automatically loaded from Keras datasets. Reference: https://keras.io/api/datasets/fashion_mnist/

How to Run: Python:

• Install dependencies: pip install tensorflow matplotlib
• Run the file: python python.py

R:

• Install dependencies: install.packages("keras"), library(keras), install_keras()
• Run the file in RStudio or terminal: source('R-Assignment.R')

Output:

• Model trains for 5 epochs.
• Displays test accuracy in the console.
• Predictions for 2 images are displayed with predicted and true labels.