Fashion MNIST Autoencoder and Classifier

This repository contains a deep learning project that demonstrates training an autoencoder on the Fashion MNIST dataset, followed by a classifier that uses the encoded features for image classification. The project utilizes Keras and TensorFlow to implement the autoencoder and classifier models.

Prerequisites

Before you begin, ensure you have met the following requirements:

• Python 3.6+
• TensorFlow 2.x
• Keras
• Matplotlib
• NumPy
• Scikit-learn
• Gzip (for extracting the dataset)

You can install the required Python libraries using pip:

pip install tensorflow keras matplotlib numpy scikit-learn gzip
git clone https://github.com/your-username/your-repository-name.git
cd your-repository-name
python autoencoder_training.py