Engage with Deep Learning

Understanding Convolution Operations in Neural Networks

In deep learning, convolutional operations serve as the cornerstone of convolutional neural networks.

• Filter
• Sliding window mechanism

A convolution operation transforms an input into an output through a filter and a sliding window mechanism. Explore the interactive demonstration below to deepen your grasp of this crucial process.

Navigating the Application

To make the most of your experience, here are some pointers for using the app:

• Hover over pixel values in both the calculations and the output to see the relationships between them. 🔍
• The * operation between the window and the filter signifies the sum of the element-wise product, also known as the Frobenius inner product. 🧮
• In the output, red pixels indicate positive activations, while blue pixels signify negative activations. 🔴🔵
• Although the app functions on mobile, it's optimized for desktop use. We've done some testing on mobile—please report any issues you experience. 📱💻
• Curious about filter size and stride? The app defaults to a stride of 1 and a filter size of 3 x 3. 📐