Project 1 - Implement and deploy CNN model in real-time using python on Fashion MNIST dataset

Implement and deploy the CNN model in real-time using Python on the Fashion MNIST dataset

• Importing necessary libraries
• Load the train and test dataset
• Convert data frame into numpy arrays
• Extract label and pixel
• Split the training dataset into train and validation data
• Reshape the data
• Build the CNN model
• Compile the model
• Train the model
• Predict the model
• Calculate accuracy
• Save predictions to a CSV file