Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

YouTube

Create and Visualize Your First Convolutional Neural Network in Python

Prodramp via YouTube

Overview

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.

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

Reviews

Start your review of Create and Visualize Your First Convolutional Neural Network in Python

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.