Implement MNIST dataset using Convolutional Neural Networks (CNNs). Use Max Pooling Layers, Conv2d layers, Dense layers.
Use your own strategy and try to achieve the maximum possible accuracy.
Contributing Guidelines:
The code should include comments
There should be proper documentation (description, inputs, and outputs) contained in the README.md file.
The file should be in the proper directory (e.g., Python/project_directory/name_of_the_file)
The file names must be in snake case (i.e., ' ' replaced by '_')
If you're using images in the README.md file then put them in the images folder inside your project directory.
Description
Implement MNIST dataset using Convolutional Neural Networks (CNNs). Use Max Pooling Layers, Conv2d layers, Dense layers. Use your own strategy and try to achieve the maximum possible accuracy.
Contributing Guidelines: