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.
Create and Visualize Your First Convolutional Neural Network in Python
Overview
Syllabus
- 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
Taught by
Prodramp
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