Fashion MNIST Data

What it does

A simple machine learning model to identify the type of clothing.

How we built it

As the Fashion MNIST data is available directly in the tf.keras datasets API I used that. Then the images were normalized(both training and testing).Then a SEQUENCE of layers in the neural network are defined and then flattened as well as dense layers are added. Then the model is built by compiling it with an optimizer and loss function(Adam and 'sparse_categorical_crossentropy' respectively ). then it is trained using model.fit and finally tested using model.evaluate.

Accomplishments that we're proud of

Using Tensorflow and working with datasets

Built With

• keras
• tensorflow