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Learn to create and visualize your first Convolutional Neural Network (CNN) in Python with this beginner-friendly tutorial. Explore CNN architecture, including convolutional layers, pooling, flattening, and dropout, through visual examples and clear explanations. Gain hands-on experience by implementing a real CNN using Keras for the MNIST dataset, and understand concepts like batches and epochs. Access the provided Jupyter notebook source code to follow along and reinforce your learning.
