Clothing-classification

This is a basic classification project: "Classify images of clothing" using TensorFlow & Keras.
This notebook builds and trains a neural network model to classify images of clothing, like sneakers, shirts..., by using the Fashion MNIST as dataset which contains 70,000 grayscale images in 10 categories ( 60,000 images in the training set and 10,000 images in the test set).

• Categories

Label	Class
0	T-shirt/top
1	Trouser
2	Pullover
3	Dress
4	Coat
5	Sandal
6	Shirt
7	Sneaker
8	Bag
9	Ankle boot

• Steps:

1. Explore the data
2. Preprocess the data
3. Build the model
4. Train the model
5. Use the trained model