This repository contains code to classify articles of clothing from the Fashion MNIST dataset using TensorFlow. The code is written in Python and utilizes the TensorFlow library for deep learning.
The Fashion MNIST dataset is included in the TensorFlow library. It consists of 60,000 training images and 10,000 testing images. Each image is a 28x28 grayscale image belonging to one of 10 classes:
- 0: T-shirt/top
- 1: Trouser
- 2: Pullover
- 3: Dress
- 4: Coat
- 5: Sandal
- 6: Shirt
- 7: Sneaker
- 8: Bag
- 9: Ankle boot
- TensorFlow
- Matplotlib
fashion_code.py: contains the python code for data loading, model training, and evaluation.README.md: Markdown file providing information about the project.
- Clone the repository
- Navigate to the project directory
- Follow the instructions to execute the code and train the model.
The trained model achieves an accuracy of approximately 80% on the test dataset.
Nvidia Deep Learning Institute &YouTube