Add CNN class for MNIST in cnn.py and import it to main.py

[sweep-nightly]

Description

This PR adds a new Convolutional Neural Network (CNN) class in cnn.py to handle the MNIST dataset. The CNN class is defined with two convolutional layers followed by two fully connected layers. The existing main.py file is modified to import and use this new class.

Summary of Changes

• Created a new file, cnn.py, in the src directory.
• Defined a new class named 'CNN' in cnn.py that inherits from torch.nn.Module. The class has an init method to define the layers and a forward method to compute the output.
• Modified main.py to import the CNN class from cnn.py.
• Replaced the instantiation of the 'Net' class with the 'CNN' class to create the model.
• Ensured correct reshaping of the input for the CNN in the training loop.
• Saved the trained model's state_dict with the filename "mnist_cnn_model.pth".

Please review and merge this PR. Thank you!

Fixes #9.

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