In this homework we will classify the fashion objects (clothes, shoes, bags) in the Fashion MNIST dataset, which is used to replace the original MNIST dataset. Please refer to TensorFlow's tutorial to how to train a MNIST dataset:
[https://www.tensorflow.org/tutorials/keras/classification](https://www.tensorflow.org/tutorials/keras/classification)

Please copy the Colab notebook into your own account, and the following code cell:
<pre>
# Connect to Google Drive
from google.colab import drive
drive.mount('/content/drive')
</pre>
<pre>
results = model.predict_classes(test_images)
# Print the predicted results in CSV format to Google Drive
with open('drive/My Drive/Colab Notebooks/fashion_mnist/pred_results.csv', 'w') as f:
    f.write('Id,Category\n')
    for i in range(len(results)):
        f.write(str(i) + ',' + str(results[i]) + '\n')
</pre>