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Please code in .ipynb format.

1 Programming Assignment
1.
Convolutional neural networks (CNNs)
Mission: Write Keras code to implement the CNN model.
• Data set: Fashion MNIST dataset
Read the data set description. This is a dataset of 60, 000 28 × 28 grayscale
images of 10 fashion categories, along with a test set of 10, 000 images.
-
• Approaches:
CNN model (required): Don't use any built-in CNN architectures such VGG or
ResNet. Please use keras library to build a simple CNN model:
Keras.
Other data pre-processing or feature engineering methods (optional): You can
apply any technique you prefer.
• Performance metric: Successfully train the CNN model using the training data and
provide me the accuracy for the test data.
Reference
1. Convolutional Neural Network (CNN)
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Transcribed Image Text:1 Programming Assignment 1. Convolutional neural networks (CNNs) Mission: Write Keras code to implement the CNN model. • Data set: Fashion MNIST dataset Read the data set description. This is a dataset of 60, 000 28 × 28 grayscale images of 10 fashion categories, along with a test set of 10, 000 images. - • Approaches: CNN model (required): Don't use any built-in CNN architectures such VGG or ResNet. Please use keras library to build a simple CNN model: Keras. Other data pre-processing or feature engineering methods (optional): You can apply any technique you prefer. • Performance metric: Successfully train the CNN model using the training data and provide me the accuracy for the test data. Reference 1. Convolutional Neural Network (CNN)
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