CNN Explainer: Interactively Visualize a Convolutional Neural Network

..to build an intuitive understanding.

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

On a side note, we know that CNNs are mostly used for computer vision tasks etc. But they are also used in NLP applications too. Further reading.

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

Yet, at times, understanding:

• 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.

…is indeed difficult.

If you have ever struggled to understand CNN, you should use CNN Explainer.

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.

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? Let me know :)

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Find the code for my tips here: GitHub.

I like to explore, experiment and write about data science concepts and tools. You can read my articles on Medium. Also, you can connect with me on LinkedIn and Twitter.