Create and Visualize Your First Convolutional Neural Network in Python

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.

- Video Starts
- Previous Tutorials
- Tutorial Starts
- CNN Architecture
- Convolutional Layer
- Pooling
- Flatten
- Dropout
- Effect of Activation
- Network Visualization
- Real CNN in action MNIST using Keras
- Batch and Epochs
- Tutorial Source Code
- Content Recap