CNN Explainer: An Interactive Tool to Understand CNNs

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CNN Explainer

Convolutional Neural Networks (CNNs) have been a revolutionary deep learning architecture in computer vision.

The core component of a CNN is convolution, which allows it to capture local patterns, such as edges and textures, and helps in extracting relevant information from the input.

If you have ever struggled to understand any of the following:

• how CNNs internally work

• how inputs are transformed

• what is the representation of the image after each layer

• how convolutions are applied

• how pooling operation is applied

• how the shape of the input changes, etc.

…then I recommend trying the CNN Explainer tool.

It is an incredible interactive tool to visualize the internal workings of a CNN.

Essentially, you can play around with different layers of a CNN and visualize how a CNN applies different operations.

Clicking on any of the core operations (convolution, max pooling, activation) will make the entire internal workings super clear to you.

Try it here: CNN Explainer.

👉 Over to you: What are some interactive tools to visualize different machine learning models/architectures, that you are aware of?

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