Convolution Operation Inside Neural Networks
In deep learning, convolution operations are the key components used in convolutional neural networks. A convolution operation maps an input to an output using a filter and a sliding window. Use the interactive demonstration below to gain a better understanding of this process.
To learn more about convolutional neural networks, see CNNs Explained.
BETA Testing Phase
This convolution operation demo is currently in BETA. The intended use of this application is to:
- Help students learn 👨🎓👩🎓
- Help instructors teach 👩🏫👨🏫
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Here are some helpful tips to consider when using the app:
- Hover over the pixel values in the calculations and the output to see how values are connected to one another.
*operation between the window and the filter represents the sum of the element-wise product, also known as the Frobenius inner product.
- In the output, red pixels represent positive activations, and blue pixels represent negative activations.
- The application works on mobile but performs best on desktop. We tested on a limited number of mobile devices. Let us know if you run into issues on your device.