DNN

This repository describes practical applications of DNN models.

Simple classification

This repository contains a simple deep learning model designed to classify images from the Fashion-MNIST dataset into 10 different categories of clothing. The model employs a sequential architecture consisting of fully connected (dense) layers.

Key Features:

• Dataset: Fashion-MNIST
• Model Architecture: Sequential Dense Layers
• Task: 10-class Classification

Regression(house_price)

This repository provides a simple deep learning model for predicting housing prices in California. The model employs a sequential architecture consisting of dense layers.

Key Features:

• Dataset: California_housing
• Model Architecture: Sequential Dense Layers
• Task: Housing Price Prediction